Attribute Information

  1. age
  2. job : type of job
  3. marital : marital status
  4. education
  5. default: has credit in default?
  6. housing: has housing loan?
  7. loan: has personal loan?
  8. balance in account
  9. contact: contact communication type
  10. month: last contact month of year
  11. day: last contact day of the month
  12. duration: last contact duration, in seconds
  13. campaign: number of contacts performed during this campaign and for this client
  14. pdays: number of days that passed by after the client was last contacted from a previous campaign
  15. previous: number of contacts performed before this campaign and for this client
  16. poutcome: outcome of the previous marketing campaign
  17. Output variable ('Target'): has the client subscribed a term deposit?
In [134]:
#importing required libraries
import warnings
warnings.filterwarnings('ignore')
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
from sklearn.model_selection import train_test_split
from sklearn.ensemble import BaggingClassifier, AdaBoostClassifier, GradientBoostingClassifier, RandomForestClassifier, StackingClassifier
from sklearn.metrics import confusion_matrix, recall_score, classification_report, accuracy_score, precision_score
from sklearn.tree import DecisionTreeClassifier
from sklearn.preprocessing import LabelEncoder, StandardScaler
import graphviz
from IPython.display import display
from sklearn import tree
In [135]:
#read the csv data into pandas dataframe
bank_data = pd.read_csv('bank-full.csv')
bank_data.head()
Out[135]:
age job marital education default balance housing loan contact day month duration campaign pdays previous poutcome Target
0 58 management married tertiary no 2143 yes no unknown 5 may 261 1 -1 0 unknown no
1 44 technician single secondary no 29 yes no unknown 5 may 151 1 -1 0 unknown no
2 33 entrepreneur married secondary no 2 yes yes unknown 5 may 76 1 -1 0 unknown no
3 47 blue-collar married unknown no 1506 yes no unknown 5 may 92 1 -1 0 unknown no
4 33 unknown single unknown no 1 no no unknown 5 may 198 1 -1 0 unknown no
In [136]:
#get the info of the data which gives the data types
bank_data.info()
<class 'pandas.core.frame.DataFrame'>
RangeIndex: 45211 entries, 0 to 45210
Data columns (total 17 columns):
 #   Column     Non-Null Count  Dtype 
---  ------     --------------  ----- 
 0   age        45211 non-null  int64 
 1   job        45211 non-null  object
 2   marital    45211 non-null  object
 3   education  45211 non-null  object
 4   default    45211 non-null  object
 5   balance    45211 non-null  int64 
 6   housing    45211 non-null  object
 7   loan       45211 non-null  object
 8   contact    45211 non-null  object
 9   day        45211 non-null  int64 
 10  month      45211 non-null  object
 11  duration   45211 non-null  int64 
 12  campaign   45211 non-null  int64 
 13  pdays      45211 non-null  int64 
 14  previous   45211 non-null  int64 
 15  poutcome   45211 non-null  object
 16  Target     45211 non-null  object
dtypes: int64(7), object(10)
memory usage: 5.9+ MB
In [137]:
#find the shape of the data
bank_data.shape
Out[137]:
(45211, 17)
In [138]:
#Look for any null values exists in the data
bank_data.isnull().sum()
Out[138]:
age          0
job          0
marital      0
education    0
default      0
balance      0
housing      0
loan         0
contact      0
day          0
month        0
duration     0
campaign     0
pdays        0
previous     0
poutcome     0
Target       0
dtype: int64

It seems there are no null values in the data

In [139]:
#look for any duplicate records exists in the data
bank_data[bank_data.duplicated()].count()
Out[139]:
age          0
job          0
marital      0
education    0
default      0
balance      0
housing      0
loan         0
contact      0
day          0
month        0
duration     0
campaign     0
pdays        0
previous     0
poutcome     0
Target       0
dtype: int64

there are no duplicate records in the data

In [140]:
#the numerical value of the day column has no specific weightage over other value. For example, day 1 of the month and
# day 30th of the month are equal. If we provide the data as-is to the model, it might treat as if day 30th has more weight.
# so converting day column into 4 weeks of the month and dropping day column.
conditions = [bank_data['day']<=7, 
              (bank_data['day'] > 7) & (bank_data['day']<=14),
              (bank_data['day'] > 14) & (bank_data['day']<=21),
              bank_data['day'] > 21]
labels = ['firstweek', 'secondweek', 'thirdweek','forthweek']
bank_data['week of the month'] = np.select(conditions, labels, default=np.nan)
bank_data['week of the month'].astype('object')
#Since we mapped day column to week of the month, dropping day column
bank_data.drop('day', axis=1, inplace=True)
bank_data.head()
Out[140]:
age job marital education default balance housing loan contact month duration campaign pdays previous poutcome Target week of the month
0 58 management married tertiary no 2143 yes no unknown may 261 1 -1 0 unknown no firstweek
1 44 technician single secondary no 29 yes no unknown may 151 1 -1 0 unknown no firstweek
2 33 entrepreneur married secondary no 2 yes yes unknown may 76 1 -1 0 unknown no firstweek
3 47 blue-collar married unknown no 1506 yes no unknown may 92 1 -1 0 unknown no firstweek
4 33 unknown single unknown no 1 no no unknown may 198 1 -1 0 unknown no firstweek
In [141]:
#Checking pdays column with vaule 999. As 999 means the customer never contacted before
bank_data[bank_data['pdays']==999]
Out[141]:
age job marital education default balance housing loan contact month duration campaign pdays previous poutcome Target week of the month
In [142]:
#Since pdays means - number of days that passed by after the client was last contacted from a previous campaign, 
# so it cannot be negative. Lets treat the pdays column by taking absolute value of it
bank_data['pdays'] = bank_data['pdays'].abs()
bank_data[bank_data['pdays']<0]
Out[142]:
age job marital education default balance housing loan contact month duration campaign pdays previous poutcome Target week of the month
In [143]:
#Checking to see if we have negative balance
bank_data[bank_data['balance'] < 0]
Out[143]:
age job marital education default balance housing loan contact month duration campaign pdays previous poutcome Target week of the month
25 44 admin. married secondary no -372 yes no unknown may 172 1 1 0 unknown no firstweek
28 46 management single secondary no -246 yes no unknown may 255 2 1 0 unknown no firstweek
36 25 blue-collar married secondary no -7 yes no unknown may 365 1 1 0 unknown no firstweek
37 53 technician married secondary no -3 no no unknown may 1666 1 1 0 unknown no firstweek
45 36 admin. single primary no -171 yes no unknown may 242 1 1 0 unknown no firstweek
... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ...
44626 31 services single secondary no -205 no no cellular sep 481 1 579 1 failure yes firstweek
44629 28 blue-collar single secondary no -46 yes no cellular sep 199 1 92 14 success yes firstweek
44836 33 blue-collar married primary no -195 no no unknown sep 9 1 1 0 unknown no thirdweek
44908 48 management divorced tertiary no -130 yes no cellular sep 110 2 61 9 failure no forthweek
44964 21 blue-collar single primary no -42 no no unknown oct 5 1 1 0 unknown no secondweek

3766 rows × 17 columns

'balance' column has negative values, I am not going to treat this column assuming that the bank allows overdraft

In [144]:
#get the description with 5 point summary and other statistics of the data
bank_data_description = bank_data.describe().transpose()
bank_data_description['range'] = bank_data_description['max'] - bank_data_description['min']
bank_data_description['median'] = bank_data.median()
bank_data_description['IQR'] = bank_data.quantile(0.75) - bank_data.quantile(0.25)
bank_data_description['Skewness'] = bank_data.skew()
bank_data_description
Out[144]:
count mean std min 25% 50% 75% max range median IQR Skewness
age 45211.0 40.936210 10.618762 18.0 33.0 39.0 48.0 95.0 77.0 39.0 15.0 0.684818
balance 45211.0 1362.272058 3044.765829 -8019.0 72.0 448.0 1428.0 102127.0 110146.0 448.0 1356.0 8.360308
duration 45211.0 258.163080 257.527812 0.0 103.0 180.0 319.0 4918.0 4918.0 180.0 216.0 3.144318
campaign 45211.0 2.763841 3.098021 1.0 1.0 2.0 3.0 63.0 62.0 2.0 2.0 4.898650
pdays 45211.0 41.832563 99.456849 1.0 1.0 1.0 1.0 871.0 870.0 1.0 0.0 2.627828
previous 45211.0 0.580323 2.303441 0.0 0.0 0.0 0.0 275.0 275.0 0.0 0.0 41.846454

Univariate Analysis

In [145]:
#function to get the list of categorical and numerical columns
def get_categorical_and_numerical_columns():
    cols = bank_data.columns
    numerical_columns = bank_data._get_numeric_data().columns
    categorical_columns = list(set(cols)- set(numerical_columns))
    return numerical_columns, categorical_columns
numerical_columns, categorical_columns = get_categorical_and_numerical_columns()
In [146]:
# Finding the value counts of categorical columns
for col in categorical_columns:
    print(bank_data[col].value_counts())
yes    25130
no     20081
Name: housing, dtype: int64
thirdweek     13900
forthweek     11071
secondweek    10442
firstweek      9798
Name: week of the month, dtype: int64
no     44396
yes      815
Name: default, dtype: int64
married     27214
single      12790
divorced     5207
Name: marital, dtype: int64
no     37967
yes     7244
Name: loan, dtype: int64
unknown    36959
failure     4901
other       1840
success     1511
Name: poutcome, dtype: int64
may    13766
jul     6895
aug     6247
jun     5341
nov     3970
apr     2932
feb     2649
jan     1403
oct      738
sep      579
mar      477
dec      214
Name: month, dtype: int64
cellular     29285
unknown      13020
telephone     2906
Name: contact, dtype: int64
no     39922
yes     5289
Name: Target, dtype: int64
secondary    23202
tertiary     13301
primary       6851
unknown       1857
Name: education, dtype: int64
blue-collar      9732
management       9458
technician       7597
admin.           5171
services         4154
retired          2264
self-employed    1579
entrepreneur     1487
unemployed       1303
housemaid        1240
student           938
unknown           288
Name: job, dtype: int64

Insights

  1. The data has less credit defaulters
  2. We have less subscriptions for the term deposit. Over 88% of the people did not subscribed for term deposit
  3. For more than 81% of the data we don't know the outcome of previous campaign
  4. More than 51% of the people has secondary education
  5. More than 83% of people doesn't have personal loan
  6. Major mode of communication with the customers is by cellular phone
  7. It seems most people are contacted by the bank in the month of May
  8. Highest number of people are in blue-collar and mangement jobs
In [147]:
# Function to plot distribution plots for numberical columns and count plots for categorical columns
def plotgraphs(data):
    plt.rcParams['figure.figsize'] = (15,7)
    for col in data.columns:
        if col in numerical_columns:
            sns.displot(data[col], kind='kde')
        else:
            sns.countplot(data[col])
        plt.show()

plotgraphs(bank_data)

Insights

  1. age, balance, duration, campaign, pdays, previous columns data is not normally distributed and right skewed.
  2. Failure outcome from the previous campaign is more compare to success
In [148]:
#normalizing numerical data using standard scaler
standardScaler = StandardScaler()
for col in numerical_columns:
  bank_data[col] = standardScaler.fit_transform(bank_data[[col]])
bank_data.head()
Out[148]:
age job marital education default balance housing loan contact month duration campaign pdays previous poutcome Target week of the month
0 1.606965 management married tertiary no 0.256419 yes no unknown may 0.011016 -0.569351 -0.41056 -0.25194 unknown no firstweek
1 0.288529 technician single secondary no -0.437895 yes no unknown may -0.416127 -0.569351 -0.41056 -0.25194 unknown no firstweek
2 -0.747384 entrepreneur married secondary no -0.446762 yes yes unknown may -0.707361 -0.569351 -0.41056 -0.25194 unknown no firstweek
3 0.571051 blue-collar married unknown no 0.047205 yes no unknown may -0.645231 -0.569351 -0.41056 -0.25194 unknown no firstweek
4 -0.747384 unknown single unknown no -0.447091 no no unknown may -0.233620 -0.569351 -0.41056 -0.25194 unknown no firstweek
In [149]:
#Identifying outliers
IQR = bank_data_description['IQR']
Q1 = bank_data.quantile(0.25)
Q3 = bank_data.quantile(0.75)

outlier_row_index = np.where((bank_data< Q1 - 1.5 * IQR) | (bank_data > Q3 + 1.5* IQR))[0]
bank_data_outliers = bank_data.iloc[outlier_row_index, : ]
bank_data_outliers
Out[149]:
age job marital education default balance housing loan contact month duration campaign pdays previous poutcome Target week of the month
2626 -0.935732 technician married secondary no -0.412605 yes no unknown may -0.610283 3.304133 -0.410560 -0.251940 unknown no secondweek
2706 0.476877 admin. divorced tertiary no 0.783888 yes no unknown may -0.734543 5.240875 -0.410560 -0.251940 unknown no secondweek
2967 -0.370689 technician married tertiary yes -0.447419 yes no unknown may -0.641348 3.626923 -0.410560 -0.251940 unknown no secondweek
3044 0.947747 unemployed married secondary no -0.307834 yes no unknown may 0.108094 3.626923 -0.410560 -0.251940 unknown no secondweek
3079 -1.218254 blue-collar married primary no -0.447419 no no unknown may -0.936465 6.854826 -0.410560 -0.251940 unknown no secondweek
... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ...
45204 3.019575 retired married secondary no 0.488624 no no cellular nov 0.162458 -0.569351 -0.018426 3.221163 failure yes thirdweek
45208 2.925401 retired married secondary no 1.429593 no no cellular nov 3.373797 0.721811 1.429454 1.050473 success yes thirdweek
45208 2.925401 retired married secondary no 1.429593 no no cellular nov 3.373797 0.721811 1.429454 1.050473 success yes thirdweek
45210 -0.370689 entrepreneur married secondary no 0.528364 no no cellular nov 0.399328 -0.246560 1.469673 4.523577 other no thirdweek
45210 -0.370689 entrepreneur married secondary no 0.528364 no no cellular nov 0.399328 -0.246560 1.469673 4.523577 other no thirdweek

17339 rows × 17 columns

In [150]:
#Function to get total outliers per feature
def get_outliers(data):
    outliers = ((data < (Q1 - 1.5 * IQR)) | (data > (Q3 + 1.5 * IQR))).sum()
    return outliers
outliers = get_outliers(bank_data)
outliers
Out[150]:
Target                  0
age                     0
balance                 0
campaign              840
contact                 0
default                 0
duration                0
education               0
housing                 0
job                     0
loan                    0
marital                 0
month                   0
pdays                8242
poutcome                0
previous             8257
week of the month       0
dtype: int64
In [151]:
#Finding the percentage of outliers
percentage_of_outliers = (outliers/len(bank_data)) * 100
percentage_of_outliers
Out[151]:
Target                0.000000
age                   0.000000
balance               0.000000
campaign              1.857955
contact               0.000000
default               0.000000
duration              0.000000
education             0.000000
housing               0.000000
job                   0.000000
loan                  0.000000
marital               0.000000
month                 0.000000
pdays                18.230077
poutcome              0.000000
previous             18.263255
week of the month     0.000000
dtype: float64
In [152]:
# Columns campaign, pdays and previous have outliers. lets plot the graphs to see the outliers visually.
columns_with_outliers = ['campaign', 'pdays', 'previous']

#Function to plot outliers
def plot_outliers():
    palettes = ['spring', 'rainbow', 'pastel']
    plt.rcParams['figure.figsize'] = (10,15)
    for index, col in enumerate(columns_with_outliers):
        plt.subplot(3, 1, index+1)
        sns.boxenplot(bank_data[col], palette=palettes[index])
        plt.show()
plot_outliers()

Insights

  1. We have 18% of the data as outliers for pdays and previous columns
  2. campaign columns has outliers of 1.8%

We have significant outliers, we need to treat them because they might cause the model to be overfit and resulting in high variance with test data. Models like Decision tree, Adaboost are very sensitive to outliers. Because its good practice to fix the outliers only in training data instead of fixing the whole data set, we will treat them once we split the data in to test and train.

Multivariate analysis

In [153]:
plt.rcParams['figure.figsize'] = (15,7)
#Function to plot boxplots for continuous variable vs target and count plots for categorical variables vs Target
def plot_graphs_feature_vs_target(data):
    for col in data.columns:
        if col == 'Target':
            continue
        if col in numerical_columns:
            sns.boxplot(data['Target'], data[col])
        else:
            sns.countplot(data[col], hue=data['Target'])
        plt.show()
plot_graphs_feature_vs_target(bank_data)

Insights

  1. people in management job, subscribed to term deposit more compared to other job types
  2. People who are not credit defaulters subscribed more compared to defaulters
  3. The longer call duration increases the chance of subscription

Bi-variate Analysis

In [154]:
sns.barplot(data=bank_data, x='education', y='age', hue='Target')
plt.show()

Insight:

People with primary eduction and more age are likely to subscribe for term deposit

In [155]:
sns.barplot(data=bank_data, x='job', y='balance', hue='Target')
plt.show()

Insight:

People who retired or self-employed with good balance in the account subscribed for term deposit

In [156]:
bank_data.groupby('Target').mean()
Out[156]:
age balance duration campaign pdays previous
Target
no -0.009156 -0.019232 -0.143599 0.026633 -0.037498 -0.033936
yes 0.069110 0.145167 1.083901 -0.201032 0.283041 0.256154
In [157]:
pd.crosstab(bank_data['housing'], bank_data['Target'], margins=True)
Out[157]:
Target no yes All
housing
no 16727 3354 20081
yes 23195 1935 25130
All 39922 5289 45211
In [158]:
pd.crosstab(bank_data['loan'], bank_data['Target'], margins=True)
Out[158]:
Target no yes All
loan
no 33162 4805 37967
yes 6760 484 7244
All 39922 5289 45211
In [159]:
#Map target value from 'yes' and 'no' to 1 and 0 respectively
mapping = {'no':0, 'yes':1}
bank_data['Target'] = bank_data['Target'].replace(mapping) 
bank_data['Target'].astype('int64')
bank_data['Target']
Out[159]:
0        0
1        0
2        0
3        0
4        0
        ..
45206    1
45207    1
45208    1
45209    0
45210    0
Name: Target, Length: 45211, dtype: int64
In [160]:
#plot Pairplot
sns.pairplot(bank_data, hue='Target')
plt.show()
In [161]:
# Plot heatmaps
plt.figure(figsize=(10,7))
sns.heatmap(bank_data.corr(), annot=True)
Out[161]:
<AxesSubplot:>

There is not much co-relation between features and target variable as well as not much co-relation among features

Data Preparation

In [162]:
numerical_columns, categorical_columns = get_categorical_and_numerical_columns()
categorical_columns
Out[162]:
['housing',
 'week of the month',
 'default',
 'marital',
 'loan',
 'poutcome',
 'month',
 'contact',
 'education',
 'job']

I am going to create dummy variables for all the category variables instead of using label encoding. Because label encoding will convert the categorical values in to numerical values. For example: The values of contact column can be label encoded as 1 for cellular, 2 for telephone and 3 for unknown. Which will cause model to misinterpret that there exists an order among the values but they are just categorical values with no relation between them.

In [163]:
bank_data = pd.get_dummies(bank_data, columns=categorical_columns)
bank_data.head()
Out[163]:
age balance duration campaign pdays previous Target housing_no housing_yes week of the month_firstweek ... job_entrepreneur job_housemaid job_management job_retired job_self-employed job_services job_student job_technician job_unemployed job_unknown
0 1.606965 0.256419 0.011016 -0.569351 -0.41056 -0.25194 0 0 1 1 ... 0 0 1 0 0 0 0 0 0 0
1 0.288529 -0.437895 -0.416127 -0.569351 -0.41056 -0.25194 0 0 1 1 ... 0 0 0 0 0 0 0 1 0 0
2 -0.747384 -0.446762 -0.707361 -0.569351 -0.41056 -0.25194 0 0 1 1 ... 1 0 0 0 0 0 0 0 0 0
3 0.571051 0.047205 -0.645231 -0.569351 -0.41056 -0.25194 0 0 1 1 ... 0 0 0 0 0 0 0 0 0 0
4 -0.747384 -0.447091 -0.233620 -0.569351 -0.41056 -0.25194 0 1 0 1 ... 0 0 0 0 0 0 0 0 0 1

5 rows × 55 columns

In [164]:
# Splitting the data into train and test with 70:30 ratio using a random_state = 7
X = bank_data.drop('Target', axis=1)
y = bank_data['Target']

X_train, X_test, y_train, y_test = train_test_split(X,y, test_size=0.3, random_state=7)
In [165]:
#Function to return class level data distribution percentage
def find_percent_of_class_dist(data, col):
    if isinstance(data, pd.DataFrame):
        no_percentage = (len(data[data[col]==0])/len(data))*100
        yes_percentage = (len(data[data[col]==1])/len(data))*100
    else:
        no_percentage = (len(data[data==0])/len(data))*100
        yes_percentage = (len(data[data==1])/len(data))*100
    return no_percentage, yes_percentage
no_percentage, yes_percentage = find_percent_of_class_dist(bank_data, 'Target')
print('the percentage of no: {} and yes: {} values in the whole data set'.format(no_percentage, yes_percentage))
no_percentage, yes_percentage = find_percent_of_class_dist(y_train, None)
print('the percentage of no: {} and yes: {} values in the train data set'.format(no_percentage, yes_percentage ))
no_percentage, yes_percentage = find_percent_of_class_dist(y_test, None)
print('the percentage of no: {} and yes: {} values in the test data set'.format(no_percentage, yes_percentage ))
the percentage of no: 88.30151954170445 and yes: 11.698480458295547 values in the whole data set
the percentage of no: 88.1347363099188 and yes: 11.865263690081209 values in the train data set
the percentage of no: 88.69065172515482 and yes: 11.309348274845178 values in the test data set

We can say the class distribution is same among the whole data, train and test data sets

In [166]:
#get the outliers in training data
outliers_in_train_data = get_outliers(X_train)
outliers_in_train_data
Out[166]:
age                                0
balance                            0
campaign                         591
contact_cellular                   0
contact_telephone                  0
contact_unknown                    0
default_no                         0
default_yes                        0
duration                           0
education_primary                  0
education_secondary                0
education_tertiary                 0
education_unknown                  0
housing_no                         0
housing_yes                        0
job_admin.                         0
job_blue-collar                    0
job_entrepreneur                   0
job_housemaid                      0
job_management                     0
job_retired                        0
job_self-employed                  0
job_services                       0
job_student                        0
job_technician                     0
job_unemployed                     0
job_unknown                        0
loan_no                            0
loan_yes                           0
marital_divorced                   0
marital_married                    0
marital_single                     0
month_apr                          0
month_aug                          0
month_dec                          0
month_feb                          0
month_jan                          0
month_jul                          0
month_jun                          0
month_mar                          0
month_may                          0
month_nov                          0
month_oct                          0
month_sep                          0
pdays                           5762
poutcome_failure                   0
poutcome_other                     0
poutcome_success                   0
poutcome_unknown                   0
previous                        5770
week of the month_firstweek        0
week of the month_forthweek        0
week of the month_secondweek       0
week of the month_thirdweek        0
dtype: int64
In [167]:
# Now that we split the data into train and test, lets fix the outliers in training data before fitting the model
for col in columns_with_outliers:
    q1 = X_train[col].quantile(0.25)
    q3 = X_train[col].quantile(0.75)
    iqr = q3 - q1
    upper_wisker = q3 + 1.5 * iqr
    lower_wisker = q1 - 1.5 * iqr
    #Replace the lower-end outliers with lower wisker
    X_train[col] = np.where(X_train[col] < lower_wisker, lower_wisker, X_train[col])
    
     #Replace the upper-end outliers with upper wisker
    X_train[col] = np.where(X_train[col] > upper_wisker, upper_wisker, X_train[col])
In [168]:
outliers_in_train_data_after_capping = get_outliers(X_train)
outliers_in_train_data_after_capping
Out[168]:
age                             0
balance                         0
campaign                        0
contact_cellular                0
contact_telephone               0
contact_unknown                 0
default_no                      0
default_yes                     0
duration                        0
education_primary               0
education_secondary             0
education_tertiary              0
education_unknown               0
housing_no                      0
housing_yes                     0
job_admin.                      0
job_blue-collar                 0
job_entrepreneur                0
job_housemaid                   0
job_management                  0
job_retired                     0
job_self-employed               0
job_services                    0
job_student                     0
job_technician                  0
job_unemployed                  0
job_unknown                     0
loan_no                         0
loan_yes                        0
marital_divorced                0
marital_married                 0
marital_single                  0
month_apr                       0
month_aug                       0
month_dec                       0
month_feb                       0
month_jan                       0
month_jul                       0
month_jun                       0
month_mar                       0
month_may                       0
month_nov                       0
month_oct                       0
month_sep                       0
pdays                           0
poutcome_failure                0
poutcome_other                  0
poutcome_success                0
poutcome_unknown                0
previous                        0
week of the month_firstweek     0
week of the month_forthweek     0
week of the month_secondweek    0
week of the month_thirdweek     0
dtype: int64

Model Creation

Decision Tree

In [169]:
dTree = DecisionTreeClassifier(criterion='gini', random_state=7)
dTree.fit(X_train, y_train)
Out[169]:
DecisionTreeClassifier(random_state=7)
In [170]:
print('Train score of Decision tree: {}'. format(dTree.score(X_train, y_train)))
print('Test score of Decision tree: {}'. format(dTree.score(X_test, y_test)))
Train score of Decision tree: 1.0
Test score of Decision tree: 0.8743733411972869
In [171]:
#Function to visualize the tree
def plot_tree_graph(dTree):
    bank_data_tree = open('bank_data_tree.dot','w')
    bank_data_dot = tree.export_graphviz(dTree, out_file=bank_data_tree, feature_names=X_train.columns)
    bank_data_tree.close()
    with open("bank_data_tree.dot") as f:
        dot_graph = f.read()
    display(graphviz.Source(dot_graph))
plot_tree_graph(dTree)
Tree 0 duration <= 1.023 gini = 0.209 samples = 31647 value = [27892, 3755] 1 poutcome_success <= 0.5 gini = 0.145 samples = 28152 value = [25937, 2215] 0->1 True 3592 duration <= 2.133 gini = 0.493 samples = 3495 value = [1955, 1540] 0->3592 False 2 duration <= -0.201 gini = 0.113 samples = 27233 value = [25600, 1633] 1->2 3193 duration <= -0.434 gini = 0.464 samples = 919 value = [337, 582] 1->3193 3 month_mar <= 0.5 gini = 0.054 samples = 17441 value = [16959, 482] 2->3 1156 housing_yes <= 0.5 gini = 0.207 samples = 9792 value = [8641, 1151] 2->1156 4 month_oct <= 0.5 gini = 0.048 samples = 17279 value = [16856, 423] 3->4 1083 duration <= -0.593 gini = 0.463 samples = 162 value = [103, 59] 3->1083 5 age <= 1.842 gini = 0.042 samples = 17044 value = [16675, 369] 4->5 1006 duration <= -0.632 gini = 0.354 samples = 235 value = [181, 54] 4->1006 6 month_apr <= 0.5 gini = 0.038 samples = 16795 value = [16467, 328] 5->6 925 duration <= -0.513 gini = 0.275 samples = 249 value = [208, 41] 5->925 7 month_feb <= 0.5 gini = 0.032 samples = 15929 value = [15672, 257] 6->7 782 housing_yes <= 0.5 gini = 0.151 samples = 866 value = [795, 71] 6->782 8 month_sep <= 0.5 gini = 0.026 samples = 14950 value = [14753, 197] 7->8 615 week of the month_thirdweek <= 0.5 gini = 0.115 samples = 979 value = [919, 60] 7->615 9 age <= -1.736 gini = 0.024 samples = 14835 value = [14655, 180] 8->9 572 duration <= -0.344 gini = 0.252 samples = 115 value = [98, 17] 8->572 10 month_jul <= 0.5 gini = 0.252 samples = 81 value = [69, 12] 9->10 33 duration <= -0.465 gini = 0.023 samples = 14754 value = [14586, 168] 9->33 11 duration <= -0.371 gini = 0.191 samples = 75 value = [67, 8] 10->11 30 week of the month_firstweek <= 0.5 gini = 0.444 samples = 6 value = [2, 4] 10->30 12 age <= -2.113 gini = 0.065 samples = 59 value = [57, 2] 11->12 23 contact_cellular <= 0.5 gini = 0.469 samples = 16 value = [10, 6] 11->23 13 balance <= -0.446 gini = 0.444 samples = 3 value = [2, 1] 12->13 16 month_aug <= 0.5 gini = 0.035 samples = 56 value = [55, 1] 12->16 14 gini = 0.0 samples = 1 value = [0, 1] 13->14 15 gini = 0.0 samples = 2 value = [2, 0] 13->15 17 gini = 0.0 samples = 45 value = [45, 0] 16->17 18 balance <= -0.389 gini = 0.165 samples = 11 value = [10, 1] 16->18 19 week of the month_thirdweek <= 0.5 gini = 0.5 samples = 2 value = [1, 1] 18->19 22 gini = 0.0 samples = 9 value = [9, 0] 18->22 20 gini = 0.0 samples = 1 value = [1, 0] 19->20 21 gini = 0.0 samples = 1 value = [0, 1] 19->21 24 gini = 0.0 samples = 7 value = [7, 0] 23->24 25 duration <= -0.249 gini = 0.444 samples = 9 value = [3, 6] 23->25 26 month_dec <= 0.5 gini = 0.245 samples = 7 value = [1, 6] 25->26 29 gini = 0.0 samples = 2 value = [2, 0] 25->29 27 gini = 0.0 samples = 6 value = [0, 6] 26->27 28 gini = 0.0 samples = 1 value = [1, 0] 26->28 31 gini = 0.0 samples = 4 value = [0, 4] 30->31 32 gini = 0.0 samples = 2 value = [2, 0] 30->32 34 age <= -1.548 gini = 0.01 samples = 9850 value = [9802, 48] 33->34 251 housing_no <= 0.5 gini = 0.048 samples = 4904 value = [4784, 120] 33->251 35 month_nov <= 0.5 gini = 0.089 samples = 86 value = [82, 4] 34->35 44 poutcome_unknown <= 0.5 gini = 0.009 samples = 9764 value = [9720, 44] 34->44 36 month_jan <= 0.5 gini = 0.046 samples = 84 value = [82, 2] 35->36 43 gini = 0.0 samples = 2 value = [0, 2] 35->43 37 month_aug <= 0.5 gini = 0.024 samples = 83 value = [82, 1] 36->37 42 gini = 0.0 samples = 1 value = [0, 1] 36->42 38 gini = 0.0 samples = 75 value = [75, 0] 37->38 39 marital_single <= 0.5 gini = 0.219 samples = 8 value = [7, 1] 37->39 40 gini = 0.0 samples = 1 value = [0, 1] 39->40 41 gini = 0.0 samples = 7 value = [7, 0] 39->41 45 contact_unknown <= 0.5 gini = 0.031 samples = 1147 value = [1129, 18] 44->45 108 age <= -1.077 gini = 0.006 samples = 8617 value = [8591, 26] 44->108 46 housing_no <= 0.5 gini = 0.026 samples = 1129 value = [1114, 15] 45->46 101 job_admin. <= 0.5 gini = 0.278 samples = 18 value = [15, 3] 45->101 47 month_jun <= 0.5 gini = 0.009 samples = 868 value = [864, 4] 46->47 66 job_unknown <= 0.5 gini = 0.081 samples = 261 value = [250, 11] 46->66 48 age <= -1.265 gini = 0.005 samples = 850 value = [848, 2] 47->48 61 job_entrepreneur <= 0.5 gini = 0.198 samples = 18 value = [16, 2] 47->61 49 duration <= -0.513 gini = 0.059 samples = 33 value = [32, 1] 48->49 52 week of the month_forthweek <= 0.5 gini = 0.002 samples = 817 value = [816, 1] 48->52 50 gini = 0.0 samples = 32 value = [32, 0] 49->50 51 gini = 0.0 samples = 1 value = [0, 1] 49->51 53 gini = 0.0 samples = 726 value = [726, 0] 52->53 54 month_may <= 0.5 gini = 0.022 samples = 91 value = [90, 1] 52->54 55 gini = 0.0 samples = 77 value = [77, 0] 54->55 56 job_technician <= 0.5 gini = 0.133 samples = 14 value = [13, 1] 54->56 57 gini = 0.0 samples = 12 value = [12, 0] 56->57 58 age <= -0.088 gini = 0.5 samples = 2 value = [1, 1] 56->58 59 gini = 0.0 samples = 1 value = [0, 1] 58->59 60 gini = 0.0 samples = 1 value = [1, 0] 58->60 62 balance <= 2.346 gini = 0.111 samples = 17 value = [16, 1] 61->62 65 gini = 0.0 samples = 1 value = [0, 1] 61->65 63 gini = 0.0 samples = 16 value = [16, 0] 62->63 64 gini = 0.0 samples = 1 value = [0, 1] 62->64 67 week of the month_secondweek <= 0.5 gini = 0.074 samples = 260 value = [250, 10] 66->67 100 gini = 0.0 samples = 1 value = [0, 1] 66->100 68 week of the month_firstweek <= 0.5 gini = 0.045 samples = 218 value = [213, 5] 67->68 91 month_nov <= 0.5 gini = 0.21 samples = 42 value = [37, 5] 67->91 69 duration <= -0.5 gini = 0.023 samples = 175 value = [173, 2] 68->69 84 age <= 0.336 gini = 0.13 samples = 43 value = [40, 3] 68->84 70 month_may <= 0.5 gini = 0.012 samples = 161 value = [160, 1] 69->70 79 job_admin. <= 0.5 gini = 0.133 samples = 14 value = [13, 1] 69->79 71 gini = 0.0 samples = 133 value = [133, 0] 70->71 72 poutcome_other <= 0.5 gini = 0.069 samples = 28 value = [27, 1] 70->72 73 gini = 0.0 samples = 22 value = [22, 0] 72->73 74 duration <= -0.661 gini = 0.278 samples = 6 value = [5, 1] 72->74 75 gini = 0.0 samples = 4 value = [4, 0] 74->75 76 job_blue-collar <= 0.5 gini = 0.5 samples = 2 value = [1, 1] 74->76 77 gini = 0.0 samples = 1 value = [0, 1] 76->77 78 gini = 0.0 samples = 1 value = [1, 0] 76->78 80 gini = 0.0 samples = 12 value = [12, 0] 79->80 81 age <= 0.289 gini = 0.5 samples = 2 value = [1, 1] 79->81 82 gini = 0.0 samples = 1 value = [0, 1] 81->82 83 gini = 0.0 samples = 1 value = [1, 0] 81->83 85 gini = 0.0 samples = 30 value = [30, 0] 84->85 86 age <= 0.759 gini = 0.355 samples = 13 value = [10, 3] 84->86 87 marital_divorced <= 0.5 gini = 0.375 samples = 4 value = [1, 3] 86->87 90 gini = 0.0 samples = 9 value = [9, 0] 86->90 88 gini = 0.0 samples = 3 value = [0, 3] 87->88 89 gini = 0.0 samples = 1 value = [1, 0] 87->89 92 month_jul <= 0.5 gini = 0.059 samples = 33 value = [32, 1] 91->92 97 balance <= -0.11 gini = 0.494 samples = 9 value = [5, 4] 91->97 93 gini = 0.0 samples = 30 value = [30, 0] 92->93 94 balance <= -0.362 gini = 0.444 samples = 3 value = [2, 1] 92->94 95 gini = 0.0 samples = 1 value = [0, 1] 94->95 96 gini = 0.0 samples = 2 value = [2, 0] 94->96 98 gini = 0.0 samples = 5 value = [5, 0] 97->98 99 gini = 0.0 samples = 4 value = [0, 4] 97->99 102 duration <= -0.705 gini = 0.117 samples = 16 value = [15, 1] 101->102 107 gini = 0.0 samples = 2 value = [0, 2] 101->107 103 gini = 0.0 samples = 14 value = [14, 0] 102->103 104 month_nov <= 0.5 gini = 0.5 samples = 2 value = [1, 1] 102->104 105 gini = 0.0 samples = 1 value = [0, 1] 104->105 106 gini = 0.0 samples = 1 value = [1, 0] 104->106 109 housing_no <= 0.5 gini = 0.023 samples = 684 value = [676, 8] 108->109 144 duration <= -0.69 gini = 0.005 samples = 7933 value = [7915, 18] 108->144 110 gini = 0.0 samples = 439 value = [439, 0] 109->110 111 duration <= -0.546 gini = 0.063 samples = 245 value = [237, 8] 109->111 112 balance <= 2.565 gini = 0.021 samples = 186 value = [184, 2] 111->112 123 duration <= -0.503 gini = 0.183 samples = 59 value = [53, 6] 111->123 113 job_technician <= 0.5 gini = 0.011 samples = 183 value = [182, 1] 112->113 120 contact_unknown <= 0.5 gini = 0.444 samples = 3 value = [2, 1] 112->120 114 gini = 0.0 samples = 158 value = [158, 0] 113->114 115 duration <= -0.902 gini = 0.077 samples = 25 value = [24, 1] 113->115 116 week of the month_secondweek <= 0.5 gini = 0.444 samples = 3 value = [2, 1] 115->116 119 gini = 0.0 samples = 22 value = [22, 0] 115->119 117 gini = 0.0 samples = 2 value = [2, 0] 116->117 118 gini = 0.0 samples = 1 value = [0, 1] 116->118 121 gini = 0.0 samples = 1 value = [0, 1] 120->121 122 gini = 0.0 samples = 2 value = [2, 0] 120->122 124 job_services <= 0.5 gini = 0.285 samples = 29 value = [24, 5] 123->124 139 job_management <= 0.5 gini = 0.064 samples = 30 value = [29, 1] 123->139 125 month_may <= 0.5 gini = 0.204 samples = 26 value = [23, 3] 124->125 136 contact_unknown <= 0.5 gini = 0.444 samples = 3 value = [1, 2] 124->136 126 job_blue-collar <= 0.5 gini = 0.095 samples = 20 value = [19, 1] 125->126 131 contact_cellular <= 0.5 gini = 0.444 samples = 6 value = [4, 2] 125->131 127 gini = 0.0 samples = 18 value = [18, 0] 126->127 128 education_secondary <= 0.5 gini = 0.5 samples = 2 value = [1, 1] 126->128 129 gini = 0.0 samples = 1 value = [1, 0] 128->129 130 gini = 0.0 samples = 1 value = [0, 1] 128->130 132 gini = 0.0 samples = 3 value = [3, 0] 131->132 133 balance <= -0.253 gini = 0.444 samples = 3 value = [1, 2] 131->133 134 gini = 0.0 samples = 2 value = [0, 2] 133->134 135 gini = 0.0 samples = 1 value = [1, 0] 133->135 137 gini = 0.0 samples = 2 value = [0, 2] 136->137 138 gini = 0.0 samples = 1 value = [1, 0] 136->138 140 gini = 0.0 samples = 28 value = [28, 0] 139->140 141 balance <= -0.273 gini = 0.5 samples = 2 value = [1, 1] 139->141 142 gini = 0.0 samples = 1 value = [0, 1] 141->142 143 gini = 0.0 samples = 1 value = [1, 0] 141->143 145 gini = 0.0 samples = 3693 value = [3693, 0] 144->145 146 balance <= -0.276 gini = 0.008 samples = 4240 value = [4222, 18] 144->146 147 job_unemployed <= 0.5 gini = 0.003 samples = 2423 value = [2419, 4] 146->147 178 balance <= -0.275 gini = 0.015 samples = 1817 value = [1803, 14] 146->178 148 duration <= -0.686 gini = 0.003 samples = 2376 value = [2373, 3] 147->148 171 campaign <= 0.238 gini = 0.042 samples = 47 value = [46, 1] 147->171 149 age <= 1.277 gini = 0.042 samples = 47 value = [46, 1] 148->149 154 month_jun <= 0.5 gini = 0.002 samples = 2329 value = [2327, 2] 148->154 150 gini = 0.0 samples = 43 value = [43, 0] 149->150 151 job_blue-collar <= 0.5 gini = 0.375 samples = 4 value = [3, 1] 149->151 152 gini = 0.0 samples = 3 value = [3, 0] 151->152 153 gini = 0.0 samples = 1 value = [0, 1] 151->153 155 marital_single <= 0.5 gini = 0.001 samples = 2062 value = [2061, 1] 154->155 164 contact_cellular <= 0.5 gini = 0.007 samples = 267 value = [266, 1] 154->164 156 gini = 0.0 samples = 1610 value = [1610, 0] 155->156 157 age <= 0.712 gini = 0.004 samples = 452 value = [451, 1] 155->157 158 gini = 0.0 samples = 422 value = [422, 0] 157->158 159 age <= 0.806 gini = 0.064 samples = 30 value = [29, 1] 157->159 160 education_tertiary <= 0.5 gini = 0.32 samples = 5 value = [4, 1] 159->160 163 gini = 0.0 samples = 25 value = [25, 0] 159->163 161 gini = 0.0 samples = 4 value = [4, 0] 160->161 162 gini = 0.0 samples = 1 value = [0, 1] 160->162 165 gini = 0.0 samples = 253 value = [253, 0] 164->165 166 job_admin. <= 0.5 gini = 0.133 samples = 14 value = [13, 1] 164->166 167 gini = 0.0 samples = 11 value = [11, 0] 166->167 168 duration <= -0.597 gini = 0.444 samples = 3 value = [2, 1] 166->168 169 gini = 0.0 samples = 2 value = [2, 0] 168->169 170 gini = 0.0 samples = 1 value = [0, 1] 168->170 172 gini = 0.0 samples = 39 value = [39, 0] 171->172 173 duration <= -0.548 gini = 0.219 samples = 8 value = [7, 1] 171->173 174 gini = 0.0 samples = 6 value = [6, 0] 173->174 175 balance <= -0.421 gini = 0.5 samples = 2 value = [1, 1] 173->175 176 gini = 0.0 samples = 1 value = [0, 1] 175->176 177 gini = 0.0 samples = 1 value = [1, 0] 175->177 179 education_unknown <= 0.5 gini = 0.375 samples = 4 value = [3, 1] 178->179 182 education_tertiary <= 0.5 gini = 0.014 samples = 1813 value = [1800, 13] 178->182 180 gini = 0.0 samples = 3 value = [3, 0] 179->180 181 gini = 0.0 samples = 1 value = [0, 1] 179->181 183 contact_cellular <= 0.5 gini = 0.007 samples = 1194 value = [1190, 4] 182->183 206 job_admin. <= 0.5 gini = 0.029 samples = 619 value = [610, 9] 182->206 184 gini = 0.0 samples = 555 value = [555, 0] 183->184 185 month_jun <= 0.5 gini = 0.012 samples = 639 value = [635, 4] 183->185 186 age <= 1.654 gini = 0.006 samples = 627 value = [625, 2] 185->186 199 duration <= -0.669 gini = 0.278 samples = 12 value = [10, 2] 185->199 187 duration <= -0.492 gini = 0.003 samples = 593 value = [592, 1] 186->187 194 marital_divorced <= 0.5 gini = 0.057 samples = 34 value = [33, 1] 186->194 188 gini = 0.0 samples = 537 value = [537, 0] 187->188 189 duration <= -0.488 gini = 0.035 samples = 56 value = [55, 1] 187->189 190 month_nov <= 0.5 gini = 0.219 samples = 8 value = [7, 1] 189->190 193 gini = 0.0 samples = 48 value = [48, 0] 189->193 191 gini = 0.0 samples = 7 value = [7, 0] 190->191 192 gini = 0.0 samples = 1 value = [0, 1] 190->192 195 gini = 0.0 samples = 30 value = [30, 0] 194->195 196 week of the month_thirdweek <= 0.5 gini = 0.375 samples = 4 value = [3, 1] 194->196 197 gini = 0.0 samples = 3 value = [3, 0] 196->197 198 gini = 0.0 samples = 1 value = [0, 1] 196->198 200 gini = 0.0 samples = 1 value = [0, 1] 199->200 201 age <= 0.901 gini = 0.165 samples = 11 value = [10, 1] 199->201 202 gini = 0.0 samples = 8 value = [8, 0] 201->202 203 balance <= 0.258 gini = 0.444 samples = 3 value = [2, 1] 201->203 204 gini = 0.0 samples = 1 value = [0, 1] 203->204 205 gini = 0.0 samples = 2 value = [2, 0] 203->205 207 job_blue-collar <= 0.5 gini = 0.02 samples = 595 value = [589, 6] 206->207 242 duration <= -0.474 gini = 0.219 samples = 24 value = [21, 3] 206->242 208 month_jan <= 0.5 gini = 0.017 samples = 591 value = [586, 5] 207->208 239 month_nov <= 0.5 gini = 0.375 samples = 4 value = [3, 1] 207->239 209 campaign <= -0.408 gini = 0.014 samples = 578 value = [574, 4] 208->209 234 duration <= -0.503 gini = 0.142 samples = 13 value = [12, 1] 208->234 210 age <= -0.512 gini = 0.036 samples = 165 value = [162, 3] 209->210 223 week of the month_secondweek <= 0.5 gini = 0.005 samples = 413 value = [412, 1] 209->223 211 week of the month_firstweek <= 0.5 gini = 0.109 samples = 52 value = [49, 3] 210->211 222 gini = 0.0 samples = 113 value = [113, 0] 210->222 212 month_jun <= 0.5 gini = 0.044 samples = 44 value = [43, 1] 211->212 217 marital_married <= 0.5 gini = 0.375 samples = 8 value = [6, 2] 211->217 213 gini = 0.0 samples = 42 value = [42, 0] 212->213 214 job_self-employed <= 0.5 gini = 0.5 samples = 2 value = [1, 1] 212->214 215 gini = 0.0 samples = 1 value = [0, 1] 214->215 216 gini = 0.0 samples = 1 value = [1, 0] 214->216 218 gini = 0.0 samples = 5 value = [5, 0] 217->218 219 contact_cellular <= 0.5 gini = 0.444 samples = 3 value = [1, 2] 217->219 220 gini = 0.0 samples = 1 value = [1, 0] 219->220 221 gini = 0.0 samples = 2 value = [0, 2] 219->221 224 gini = 0.0 samples = 302 value = [302, 0] 223->224 225 age <= 0.336 gini = 0.018 samples = 111 value = [110, 1] 223->225 226 gini = 0.0 samples = 84 value = [84, 0] 225->226 227 age <= 0.43 gini = 0.071 samples = 27 value = [26, 1] 225->227 228 duration <= -0.61 gini = 0.32 samples = 5 value = [4, 1] 227->228 233 gini = 0.0 samples = 22 value = [22, 0] 227->233 229 duration <= -0.639 gini = 0.5 samples = 2 value = [1, 1] 228->229 232 gini = 0.0 samples = 3 value = [3, 0] 228->232 230 gini = 0.0 samples = 1 value = [1, 0] 229->230 231 gini = 0.0 samples = 1 value = [0, 1] 229->231 235 gini = 0.0 samples = 11 value = [11, 0] 234->235 236 age <= -0.653 gini = 0.5 samples = 2 value = [1, 1] 234->236 237 gini = 0.0 samples = 1 value = [1, 0] 236->237 238 gini = 0.0 samples = 1 value = [0, 1] 236->238 240 gini = 0.0 samples = 3 value = [3, 0] 239->240 241 gini = 0.0 samples = 1 value = [0, 1] 239->241 243 duration <= -0.67 gini = 0.159 samples = 23 value = [21, 2] 242->243 250 gini = 0.0 samples = 1 value = [0, 1] 242->250 244 balance <= -0.194 gini = 0.444 samples = 6 value = [4, 2] 243->244 249 gini = 0.0 samples = 17 value = [17, 0] 243->249 245 age <= -0.936 gini = 0.444 samples = 3 value = [1, 2] 244->245 248 gini = 0.0 samples = 3 value = [3, 0] 244->248 246 gini = 0.0 samples = 1 value = [1, 0] 245->246 247 gini = 0.0 samples = 2 value = [0, 2] 245->247 252 poutcome_unknown <= 0.5 gini = 0.018 samples = 2934 value = [2908, 26] 251->252 337 poutcome_unknown <= 0.5 gini = 0.091 samples = 1970 value = [1876, 94] 251->337 253 month_aug <= 0.5 gini = 0.059 samples = 457 value = [443, 14] 252->253 290 balance <= 3.486 gini = 0.01 samples = 2477 value = [2465, 12] 252->290 254 month_jul <= 0.5 gini = 0.035 samples = 444 value = [436, 8] 253->254 281 age <= 1.324 gini = 0.497 samples = 13 value = [7, 6] 253->281 255 month_jun <= 0.5 gini = 0.018 samples = 434 value = [430, 4] 254->255 276 duration <= -0.358 gini = 0.48 samples = 10 value = [6, 4] 254->276 256 age <= -1.265 gini = 0.014 samples = 424 value = [421, 3] 255->256 273 balance <= -0.439 gini = 0.18 samples = 10 value = [9, 1] 255->273 257 week of the month_forthweek <= 0.5 gini = 0.111 samples = 17 value = [16, 1] 256->257 262 duration <= -0.216 gini = 0.01 samples = 407 value = [405, 2] 256->262 258 gini = 0.0 samples = 14 value = [14, 0] 257->258 259 balance <= 0.051 gini = 0.444 samples = 3 value = [2, 1] 257->259 260 gini = 0.0 samples = 2 value = [2, 0] 259->260 261 gini = 0.0 samples = 1 value = [0, 1] 259->261 263 marital_divorced <= 0.5 gini = 0.005 samples = 390 value = [389, 1] 262->263 270 poutcome_other <= 0.5 gini = 0.111 samples = 17 value = [16, 1] 262->270 264 gini = 0.0 samples = 334 value = [334, 0] 263->264 265 duration <= -0.263 gini = 0.035 samples = 56 value = [55, 1] 263->265 266 gini = 0.0 samples = 47 value = [47, 0] 265->266 267 age <= -0.512 gini = 0.198 samples = 9 value = [8, 1] 265->267 268 gini = 0.0 samples = 1 value = [0, 1] 267->268 269 gini = 0.0 samples = 8 value = [8, 0] 267->269 271 gini = 0.0 samples = 16 value = [16, 0] 270->271 272 gini = 0.0 samples = 1 value = [0, 1] 270->272 274 gini = 0.0 samples = 1 value = [0, 1] 273->274 275 gini = 0.0 samples = 9 value = [9, 0] 273->275 277 gini = 0.0 samples = 4 value = [4, 0] 276->277 278 loan_no <= 0.5 gini = 0.444 samples = 6 value = [2, 4] 276->278 279 gini = 0.0 samples = 2 value = [2, 0] 278->279 280 gini = 0.0 samples = 4 value = [0, 4] 278->280 282 campaign <= -0.408 gini = 0.463 samples = 11 value = [7, 4] 281->282 289 gini = 0.0 samples = 2 value = [0, 2] 281->289 283 gini = 0.0 samples = 5 value = [5, 0] 282->283 284 age <= -0.277 gini = 0.444 samples = 6 value = [2, 4] 282->284 285 week of the month_forthweek <= 0.5 gini = 0.444 samples = 3 value = [2, 1] 284->285 288 gini = 0.0 samples = 3 value = [0, 3] 284->288 286 gini = 0.0 samples = 2 value = [2, 0] 285->286 287 gini = 0.0 samples = 1 value = [0, 1] 285->287 291 month_nov <= 0.5 gini = 0.008 samples = 2449 value = [2439, 10] 290->291 332 balance <= 3.826 gini = 0.133 samples = 28 value = [26, 2] 290->332 292 contact_cellular <= 0.5 gini = 0.005 samples = 2272 value = [2266, 6] 291->292 327 week of the month_thirdweek <= 0.5 gini = 0.044 samples = 177 value = [173, 4] 291->327 293 balance <= -0.447 gini = 0.001 samples = 1412 value = [1411, 1] 292->293 302 month_jun <= 0.5 gini = 0.012 samples = 860 value = [855, 5] 292->302 294 balance <= -0.447 gini = 0.007 samples = 283 value = [282, 1] 293->294 301 gini = 0.0 samples = 1129 value = [1129, 0] 293->301 295 gini = 0.0 samples = 275 value = [275, 0] 294->295 296 duration <= -0.304 gini = 0.219 samples = 8 value = [7, 1] 294->296 297 gini = 0.0 samples = 6 value = [6, 0] 296->297 298 duration <= -0.259 gini = 0.5 samples = 2 value = [1, 1] 296->298 299 gini = 0.0 samples = 1 value = [0, 1] 298->299 300 gini = 0.0 samples = 1 value = [1, 0] 298->300 303 job_admin. <= 0.5 gini = 0.007 samples = 850 value = [847, 3] 302->303 322 balance <= 0.05 gini = 0.32 samples = 10 value = [8, 2] 302->322 304 job_services <= 0.5 gini = 0.003 samples = 738 value = [737, 1] 303->304 315 week of the month_forthweek <= 0.5 gini = 0.035 samples = 112 value = [110, 2] 303->315 305 gini = 0.0 samples = 619 value = [619, 0] 304->305 306 week of the month_thirdweek <= 0.5 gini = 0.017 samples = 119 value = [118, 1] 304->306 307 gini = 0.0 samples = 95 value = [95, 0] 306->307 308 duration <= -0.406 gini = 0.08 samples = 24 value = [23, 1] 306->308 309 age <= -0.606 gini = 0.278 samples = 6 value = [5, 1] 308->309 314 gini = 0.0 samples = 18 value = [18, 0] 308->314 310 age <= -0.842 gini = 0.5 samples = 2 value = [1, 1] 309->310 313 gini = 0.0 samples = 4 value = [4, 0] 309->313 311 gini = 0.0 samples = 1 value = [1, 0] 310->311 312 gini = 0.0 samples = 1 value = [0, 1] 310->312 316 gini = 0.0 samples = 88 value = [88, 0] 315->316 317 month_may <= 0.5 gini = 0.153 samples = 24 value = [22, 2] 315->317 318 gini = 0.0 samples = 20 value = [20, 0] 317->318 319 age <= -0.041 gini = 0.5 samples = 4 value = [2, 2] 317->319 320 gini = 0.0 samples = 2 value = [0, 2] 319->320 321 gini = 0.0 samples = 2 value = [2, 0] 319->321 323 gini = 0.0 samples = 7 value = [7, 0] 322->323 324 week of the month_thirdweek <= 0.5 gini = 0.444 samples = 3 value = [1, 2] 322->324 325 gini = 0.0 samples = 2 value = [0, 2] 324->325 326 gini = 0.0 samples = 1 value = [1, 0] 324->326 328 balance <= 1.03 gini = 0.32 samples = 5 value = [1, 4] 327->328 331 gini = 0.0 samples = 172 value = [172, 0] 327->331 329 gini = 0.0 samples = 4 value = [0, 4] 328->329 330 gini = 0.0 samples = 1 value = [1, 0] 328->330 333 age <= 0.241 gini = 0.444 samples = 3 value = [1, 2] 332->333 336 gini = 0.0 samples = 25 value = [25, 0] 332->336 334 gini = 0.0 samples = 2 value = [0, 2] 333->334 335 gini = 0.0 samples = 1 value = [1, 0] 333->335 338 age <= -1.171 gini = 0.308 samples = 163 value = [132, 31] 337->338 397 balance <= -0.077 gini = 0.067 samples = 1807 value = [1744, 63] 337->397 339 balance <= 0.023 gini = 0.494 samples = 9 value = [4, 5] 338->339 344 balance <= -0.375 gini = 0.281 samples = 154 value = [128, 26] 338->344 340 balance <= -0.367 gini = 0.32 samples = 5 value = [4, 1] 339->340 343 gini = 0.0 samples = 4 value = [0, 4] 339->343 341 gini = 0.0 samples = 1 value = [0, 1] 340->341 342 gini = 0.0 samples = 4 value = [4, 0] 340->342 345 job_admin. <= 0.5 gini = 0.059 samples = 33 value = [32, 1] 344->345 350 month_nov <= 0.5 gini = 0.328 samples = 121 value = [96, 25] 344->350 346 gini = 0.0 samples = 29 value = [29, 0] 345->346 347 month_jan <= 0.5 gini = 0.375 samples = 4 value = [3, 1] 345->347 348 gini = 0.0 samples = 3 value = [3, 0] 347->348 349 gini = 0.0 samples = 1 value = [0, 1] 347->349 351 duration <= -0.329 gini = 0.389 samples = 87 value = [64, 23] 350->351 392 week of the month_thirdweek <= 0.5 gini = 0.111 samples = 34 value = [32, 2] 350->392 352 job_technician <= 0.5 gini = 0.295 samples = 50 value = [41, 9] 351->352 373 job_technician <= 0.5 gini = 0.47 samples = 37 value = [23, 14] 351->373 353 duration <= -0.441 gini = 0.382 samples = 35 value = [26, 9] 352->353 372 gini = 0.0 samples = 15 value = [15, 0] 352->372 354 balance <= -0.001 gini = 0.49 samples = 7 value = [3, 4] 353->354 357 balance <= 7.854 gini = 0.293 samples = 28 value = [23, 5] 353->357 355 gini = 0.0 samples = 4 value = [0, 4] 354->355 356 gini = 0.0 samples = 3 value = [3, 0] 354->356 358 month_jun <= 0.5 gini = 0.252 samples = 27 value = [23, 4] 357->358 371 gini = 0.0 samples = 1 value = [0, 1] 357->371 359 duration <= -0.385 gini = 0.165 samples = 22 value = [20, 2] 358->359 366 marital_married <= 0.5 gini = 0.48 samples = 5 value = [3, 2] 358->366 360 gini = 0.0 samples = 15 value = [15, 0] 359->360 361 duration <= -0.36 gini = 0.408 samples = 7 value = [5, 2] 359->361 362 balance <= -0.171 gini = 0.444 samples = 3 value = [1, 2] 361->362 365 gini = 0.0 samples = 4 value = [4, 0] 361->365 363 gini = 0.0 samples = 1 value = [1, 0] 362->363 364 gini = 0.0 samples = 2 value = [0, 2] 362->364 367 gini = 0.0 samples = 2 value = [2, 0] 366->367 368 age <= 0.477 gini = 0.444 samples = 3 value = [1, 2] 366->368 369 gini = 0.0 samples = 2 value = [0, 2] 368->369 370 gini = 0.0 samples = 1 value = [1, 0] 368->370 374 age <= 0.806 gini = 0.43 samples = 32 value = [22, 10] 373->374 389 age <= -0.465 gini = 0.32 samples = 5 value = [1, 4] 373->389 375 age <= -0.747 gini = 0.486 samples = 24 value = [14, 10] 374->375 388 gini = 0.0 samples = 8 value = [8, 0] 374->388 376 poutcome_other <= 0.5 gini = 0.26 samples = 13 value = [11, 2] 375->376 383 month_aug <= 0.5 gini = 0.397 samples = 11 value = [3, 8] 375->383 377 gini = 0.0 samples = 8 value = [8, 0] 376->377 378 duration <= -0.263 gini = 0.48 samples = 5 value = [3, 2] 376->378 379 gini = 0.0 samples = 2 value = [2, 0] 378->379 380 month_aug <= 0.5 gini = 0.444 samples = 3 value = [1, 2] 378->380 381 gini = 0.0 samples = 2 value = [0, 2] 380->381 382 gini = 0.0 samples = 1 value = [1, 0] 380->382 384 age <= 0.053 gini = 0.5 samples = 6 value = [3, 3] 383->384 387 gini = 0.0 samples = 5 value = [0, 5] 383->387 385 gini = 0.0 samples = 3 value = [3, 0] 384->385 386 gini = 0.0 samples = 3 value = [0, 3] 384->386 390 gini = 0.0 samples = 1 value = [1, 0] 389->390 391 gini = 0.0 samples = 4 value = [0, 4] 389->391 393 age <= 0.995 gini = 0.48 samples = 5 value = [3, 2] 392->393 396 gini = 0.0 samples = 29 value = [29, 0] 392->396 394 gini = 0.0 samples = 3 value = [3, 0] 393->394 395 gini = 0.0 samples = 2 value = [0, 2] 393->395 398 month_dec <= 0.5 gini = 0.046 samples = 1285 value = [1255, 30] 397->398 495 balance <= -0.074 gini = 0.118 samples = 522 value = [489, 33] 397->495 399 month_nov <= 0.5 gini = 0.044 samples = 1283 value = [1254, 29] 398->399 492 job_services <= 0.5 gini = 0.5 samples = 2 value = [1, 1] 398->492 400 age <= -1.642 gini = 0.036 samples = 1190 value = [1168, 22] 399->400 477 week of the month_thirdweek <= 0.5 gini = 0.139 samples = 93 value = [86, 7] 399->477 401 duration <= -0.309 gini = 0.375 samples = 4 value = [3, 1] 400->401 404 contact_unknown <= 0.5 gini = 0.035 samples = 1186 value = [1165, 21] 400->404 402 gini = 0.0 samples = 3 value = [3, 0] 401->402 403 gini = 0.0 samples = 1 value = [0, 1] 401->403 405 month_jun <= 0.5 gini = 0.048 samples = 855 value = [834, 21] 404->405 476 gini = 0.0 samples = 331 value = [331, 0] 404->476 406 month_may <= 0.5 gini = 0.036 samples = 829 value = [814, 15] 405->406 465 duration <= -0.399 gini = 0.355 samples = 26 value = [20, 6] 405->465 407 age <= -1.454 gini = 0.025 samples = 803 value = [793, 10] 406->407 452 duration <= -0.29 gini = 0.311 samples = 26 value = [21, 5] 406->452 408 duration <= -0.445 gini = 0.278 samples = 6 value = [5, 1] 407->408 411 month_jan <= 0.5 gini = 0.022 samples = 797 value = [788, 9] 407->411 409 gini = 0.0 samples = 1 value = [0, 1] 408->409 410 gini = 0.0 samples = 5 value = [5, 0] 408->410 412 balance <= -0.198 gini = 0.016 samples = 738 value = [732, 6] 411->412 441 campaign <= 0.722 gini = 0.097 samples = 59 value = [56, 3] 411->441 413 job_unemployed <= 0.5 gini = 0.009 samples = 650 value = [647, 3] 412->413 430 balance <= -0.197 gini = 0.066 samples = 88 value = [85, 3] 412->430 414 age <= 1.748 gini = 0.006 samples = 637 value = [635, 2] 413->414 427 duration <= -0.451 gini = 0.142 samples = 13 value = [12, 1] 413->427 415 age <= -1.265 gini = 0.003 samples = 622 value = [621, 1] 414->415 422 balance <= -0.335 gini = 0.124 samples = 15 value = [14, 1] 414->422 416 duration <= -0.236 gini = 0.091 samples = 21 value = [20, 1] 415->416 421 gini = 0.0 samples = 601 value = [601, 0] 415->421 417 gini = 0.0 samples = 19 value = [19, 0] 416->417 418 week of the month_firstweek <= 0.5 gini = 0.5 samples = 2 value = [1, 1] 416->418 419 gini = 0.0 samples = 1 value = [1, 0] 418->419 420 gini = 0.0 samples = 1 value = [0, 1] 418->420 423 gini = 0.0 samples = 12 value = [12, 0] 422->423 424 month_aug <= 0.5 gini = 0.444 samples = 3 value = [2, 1] 422->424 425 gini = 0.0 samples = 2 value = [2, 0] 424->425 426 gini = 0.0 samples = 1 value = [0, 1] 424->426 428 gini = 0.0 samples = 1 value = [0, 1] 427->428 429 gini = 0.0 samples = 12 value = [12, 0] 427->429 431 gini = 0.0 samples = 1 value = [0, 1] 430->431 432 balance <= -0.192 gini = 0.045 samples = 87 value = [85, 2] 430->432 433 balance <= -0.194 gini = 0.278 samples = 6 value = [5, 1] 432->433 436 marital_divorced <= 0.5 gini = 0.024 samples = 81 value = [80, 1] 432->436 434 gini = 0.0 samples = 5 value = [5, 0] 433->434 435 gini = 0.0 samples = 1 value = [0, 1] 433->435 437 gini = 0.0 samples = 69 value = [69, 0] 436->437 438 campaign <= -0.408 gini = 0.153 samples = 12 value = [11, 1] 436->438 439 gini = 0.0 samples = 1 value = [0, 1] 438->439 440 gini = 0.0 samples = 11 value = [11, 0] 438->440 442 job_admin. <= 0.5 gini = 0.067 samples = 58 value = [56, 2] 441->442 451 gini = 0.0 samples = 1 value = [0, 1] 441->451 443 gini = 0.0 samples = 49 value = [49, 0] 442->443 444 education_secondary <= 0.5 gini = 0.346 samples = 9 value = [7, 2] 442->444 445 gini = 0.0 samples = 1 value = [0, 1] 444->445 446 duration <= -0.441 gini = 0.219 samples = 8 value = [7, 1] 444->446 447 balance <= -0.406 gini = 0.5 samples = 2 value = [1, 1] 446->447 450 gini = 0.0 samples = 6 value = [6, 0] 446->450 448 gini = 0.0 samples = 1 value = [1, 0] 447->448 449 gini = 0.0 samples = 1 value = [0, 1] 447->449 453 job_admin. <= 0.5 gini = 0.105 samples = 18 value = [17, 1] 452->453 458 job_blue-collar <= 0.5 gini = 0.5 samples = 8 value = [4, 4] 452->458 454 gini = 0.0 samples = 16 value = [16, 0] 453->454 455 marital_single <= 0.5 gini = 0.5 samples = 2 value = [1, 1] 453->455 456 gini = 0.0 samples = 1 value = [1, 0] 455->456 457 gini = 0.0 samples = 1 value = [0, 1] 455->457 459 campaign <= -0.408 gini = 0.444 samples = 6 value = [2, 4] 458->459 464 gini = 0.0 samples = 2 value = [2, 0] 458->464 460 gini = 0.0 samples = 3 value = [0, 3] 459->460 461 age <= -1.312 gini = 0.444 samples = 3 value = [2, 1] 459->461 462 gini = 0.0 samples = 1 value = [0, 1] 461->462 463 gini = 0.0 samples = 2 value = [2, 0] 461->463 466 gini = 0.0 samples = 11 value = [11, 0] 465->466 467 age <= -0.889 gini = 0.48 samples = 15 value = [9, 6] 465->467 468 gini = 0.0 samples = 6 value = [6, 0] 467->468 469 age <= -0.277 gini = 0.444 samples = 9 value = [3, 6] 467->469 470 gini = 0.0 samples = 3 value = [0, 3] 469->470 471 education_tertiary <= 0.5 gini = 0.5 samples = 6 value = [3, 3] 469->471 472 gini = 0.0 samples = 2 value = [2, 0] 471->472 473 age <= 0.289 gini = 0.375 samples = 4 value = [1, 3] 471->473 474 gini = 0.0 samples = 1 value = [1, 0] 473->474 475 gini = 0.0 samples = 3 value = [0, 3] 473->475 478 age <= -0.889 gini = 0.497 samples = 13 value = [7, 6] 477->478 489 balance <= -0.121 gini = 0.025 samples = 80 value = [79, 1] 477->489 479 gini = 0.0 samples = 3 value = [0, 3] 478->479 480 week of the month_firstweek <= 0.5 gini = 0.42 samples = 10 value = [7, 3] 478->480 481 gini = 0.0 samples = 4 value = [4, 0] 480->481 482 contact_cellular <= 0.5 gini = 0.5 samples = 6 value = [3, 3] 480->482 483 gini = 0.0 samples = 2 value = [0, 2] 482->483 484 duration <= -0.406 gini = 0.375 samples = 4 value = [3, 1] 482->484 485 marital_married <= 0.5 gini = 0.5 samples = 2 value = [1, 1] 484->485 488 gini = 0.0 samples = 2 value = [2, 0] 484->488 486 gini = 0.0 samples = 1 value = [1, 0] 485->486 487 gini = 0.0 samples = 1 value = [0, 1] 485->487 490 gini = 0.0 samples = 79 value = [79, 0] 489->490 491 gini = 0.0 samples = 1 value = [0, 1] 489->491 493 gini = 0.0 samples = 1 value = [1, 0] 492->493 494 gini = 0.0 samples = 1 value = [0, 1] 492->494 496 gini = 0.0 samples = 1 value = [0, 1] 495->496 497 campaign <= -0.085 gini = 0.115 samples = 521 value = [489, 32] 495->497 498 contact_unknown <= 0.5 gini = 0.163 samples = 347 value = [316, 31] 497->498 565 balance <= 0.052 gini = 0.011 samples = 174 value = [173, 1] 497->565 499 month_jun <= 0.5 gini = 0.217 samples = 242 value = [212, 30] 498->499 562 month_nov <= 0.5 gini = 0.019 samples = 105 value = [104, 1] 498->562 500 age <= 1.277 gini = 0.114 samples = 214 value = [201, 13] 499->500 547 campaign <= -0.408 gini = 0.477 samples = 28 value = [11, 17] 499->547 501 age <= -0.324 gini = 0.086 samples = 177 value = [169, 8] 500->501 528 duration <= -0.214 gini = 0.234 samples = 37 value = [32, 5] 500->528 502 balance <= 0.217 gini = 0.149 samples = 74 value = [68, 6] 501->502 523 week of the month_secondweek <= 0.5 gini = 0.038 samples = 103 value = [101, 2] 501->523 503 balance <= 0.207 gini = 0.278 samples = 30 value = [25, 5] 502->503 518 duration <= -0.232 gini = 0.044 samples = 44 value = [43, 1] 502->518 504 age <= -0.606 gini = 0.238 samples = 29 value = [25, 4] 503->504 517 gini = 0.0 samples = 1 value = [0, 1] 503->517 505 month_nov <= 0.5 gini = 0.095 samples = 20 value = [19, 1] 504->505 510 balance <= -0.018 gini = 0.444 samples = 9 value = [6, 3] 504->510 506 gini = 0.0 samples = 18 value = [18, 0] 505->506 507 job_services <= 0.5 gini = 0.5 samples = 2 value = [1, 1] 505->507 508 gini = 0.0 samples = 1 value = [1, 0] 507->508 509 gini = 0.0 samples = 1 value = [0, 1] 507->509 511 gini = 0.0 samples = 1 value = [0, 1] 510->511 512 week of the month_thirdweek <= 0.5 gini = 0.375 samples = 8 value = [6, 2] 510->512 513 gini = 0.0 samples = 5 value = [5, 0] 512->513 514 loan_yes <= 0.5 gini = 0.444 samples = 3 value = [1, 2] 512->514 515 gini = 0.0 samples = 2 value = [0, 2] 514->515 516 gini = 0.0 samples = 1 value = [1, 0] 514->516 519 gini = 0.0 samples = 38 value = [38, 0] 518->519 520 duration <= -0.224 gini = 0.278 samples = 6 value = [5, 1] 518->520 521 gini = 0.0 samples = 1 value = [0, 1] 520->521 522 gini = 0.0 samples = 5 value = [5, 0] 520->522 524 gini = 0.0 samples = 82 value = [82, 0] 523->524 525 month_nov <= 0.5 gini = 0.172 samples = 21 value = [19, 2] 523->525 526 gini = 0.0 samples = 19 value = [19, 0] 525->526 527 gini = 0.0 samples = 2 value = [0, 2] 525->527 529 marital_single <= 0.5 gini = 0.198 samples = 36 value = [32, 4] 528->529 546 gini = 0.0 samples = 1 value = [0, 1] 528->546 530 duration <= -0.375 gini = 0.161 samples = 34 value = [31, 3] 529->530 543 job_admin. <= 0.5 gini = 0.5 samples = 2 value = [1, 1] 529->543 531 gini = 0.0 samples = 13 value = [13, 0] 530->531 532 duration <= -0.371 gini = 0.245 samples = 21 value = [18, 3] 530->532 533 gini = 0.0 samples = 1 value = [0, 1] 532->533 534 education_unknown <= 0.5 gini = 0.18 samples = 20 value = [18, 2] 532->534 535 month_aug <= 0.5 gini = 0.105 samples = 18 value = [17, 1] 534->535 540 month_nov <= 0.5 gini = 0.5 samples = 2 value = [1, 1] 534->540 536 gini = 0.0 samples = 14 value = [14, 0] 535->536 537 education_primary <= 0.5 gini = 0.375 samples = 4 value = [3, 1] 535->537 538 gini = 0.0 samples = 3 value = [3, 0] 537->538 539 gini = 0.0 samples = 1 value = [0, 1] 537->539 541 gini = 0.0 samples = 1 value = [1, 0] 540->541 542 gini = 0.0 samples = 1 value = [0, 1] 540->542 544 gini = 0.0 samples = 1 value = [1, 0] 543->544 545 gini = 0.0 samples = 1 value = [0, 1] 543->545 548 balance <= 2.189 gini = 0.499 samples = 19 value = [10, 9] 547->548 559 duration <= -0.218 gini = 0.198 samples = 9 value = [1, 8] 547->559 549 balance <= 0.4 gini = 0.469 samples = 16 value = [10, 6] 548->549 558 gini = 0.0 samples = 3 value = [0, 3] 548->558 550 age <= 0.383 gini = 0.408 samples = 7 value = [2, 5] 549->550 555 job_retired <= 0.5 gini = 0.198 samples = 9 value = [8, 1] 549->555 551 gini = 0.0 samples = 4 value = [0, 4] 550->551 552 education_tertiary <= 0.5 gini = 0.444 samples = 3 value = [2, 1] 550->552 553 gini = 0.0 samples = 2 value = [2, 0] 552->553 554 gini = 0.0 samples = 1 value = [0, 1] 552->554 556 gini = 0.0 samples = 8 value = [8, 0] 555->556 557 gini = 0.0 samples = 1 value = [0, 1] 555->557 560 gini = 0.0 samples = 8 value = [0, 8] 559->560 561 gini = 0.0 samples = 1 value = [1, 0] 559->561 563 gini = 0.0 samples = 104 value = [104, 0] 562->563 564 gini = 0.0 samples = 1 value = [0, 1] 562->564 566 balance <= 0.048 gini = 0.053 samples = 37 value = [36, 1] 565->566 571 gini = 0.0 samples = 137 value = [137, 0] 565->571 567 gini = 0.0 samples = 35 value = [35, 0] 566->567 568 job_management <= 0.5 gini = 0.5 samples = 2 value = [1, 1] 566->568 569 gini = 0.0 samples = 1 value = [0, 1] 568->569 570 gini = 0.0 samples = 1 value = [1, 0] 568->570 573 duration <= -0.682 gini = 0.159 samples = 92 value = [84, 8] 572->573 600 age <= -0.7 gini = 0.476 samples = 23 value = [14, 9] 572->600 574 gini = 0.0 samples = 32 value = [32, 0] 573->574 575 job_blue-collar <= 0.5 gini = 0.231 samples = 60 value = [52, 8] 573->575 576 education_secondary <= 0.5 gini = 0.209 samples = 59 value = [52, 7] 575->576 599 gini = 0.0 samples = 1 value = [0, 1] 575->599 577 duration <= -0.67 gini = 0.133 samples = 42 value = [39, 3] 576->577 590 balance <= -0.296 gini = 0.36 samples = 17 value = [13, 4] 576->590 578 balance <= 4.002 gini = 0.5 samples = 2 value = [1, 1] 577->578 581 week of the month_thirdweek <= 0.5 gini = 0.095 samples = 40 value = [38, 2] 577->581 579 gini = 0.0 samples = 1 value = [0, 1] 578->579 580 gini = 0.0 samples = 1 value = [1, 0] 578->580 582 balance <= -0.445 gini = 0.054 samples = 36 value = [35, 1] 581->582 587 poutcome_other <= 0.5 gini = 0.375 samples = 4 value = [3, 1] 581->587 583 balance <= -0.447 gini = 0.278 samples = 6 value = [5, 1] 582->583 586 gini = 0.0 samples = 30 value = [30, 0] 582->586 584 gini = 0.0 samples = 5 value = [5, 0] 583->584 585 gini = 0.0 samples = 1 value = [0, 1] 583->585 588 gini = 0.0 samples = 3 value = [3, 0] 587->588 589 gini = 0.0 samples = 1 value = [0, 1] 587->589 591 duration <= -0.404 gini = 0.165 samples = 11 value = [10, 1] 590->591 594 job_technician <= 0.5 gini = 0.5 samples = 6 value = [3, 3] 590->594 592 gini = 0.0 samples = 10 value = [10, 0] 591->592 593 gini = 0.0 samples = 1 value = [0, 1] 591->593 595 gini = 0.0 samples = 2 value = [0, 2] 594->595 596 contact_unknown <= 0.5 gini = 0.375 samples = 4 value = [3, 1] 594->596 597 gini = 0.0 samples = 3 value = [3, 0] 596->597 598 gini = 0.0 samples = 1 value = [0, 1] 596->598 601 duration <= -0.276 gini = 0.278 samples = 12 value = [10, 2] 600->601 608 education_primary <= 0.5 gini = 0.463 samples = 11 value = [4, 7] 600->608 602 gini = 0.0 samples = 6 value = [6, 0] 601->602 603 campaign <= -0.408 gini = 0.444 samples = 6 value = [4, 2] 601->603 604 balance <= -0.325 gini = 0.444 samples = 3 value = [1, 2] 603->604 607 gini = 0.0 samples = 3 value = [3, 0] 603->607 605 gini = 0.0 samples = 1 value = [1, 0] 604->605 606 gini = 0.0 samples = 2 value = [0, 2] 604->606 609 week of the month_firstweek <= 0.5 gini = 0.346 samples = 9 value = [2, 7] 608->609 614 gini = 0.0 samples = 2 value = [2, 0] 608->614 610 gini = 0.0 samples = 6 value = [0, 6] 609->610 611 campaign <= -0.408 gini = 0.444 samples = 3 value = [2, 1] 609->611 612 gini = 0.0 samples = 1 value = [0, 1] 611->612 613 gini = 0.0 samples = 2 value = [2, 0] 611->613 616 week of the month_forthweek <= 0.5 gini = 0.092 samples = 950 value = [904, 46] 615->616 763 duration <= -0.434 gini = 0.499 samples = 29 value = [15, 14] 615->763 617 duration <= -0.538 gini = 0.072 samples = 910 value = [876, 34] 616->617 744 job_management <= 0.5 gini = 0.42 samples = 40 value = [28, 12] 616->744 618 week of the month_firstweek <= 0.5 gini = 0.023 samples = 515 value = [509, 6] 617->618 649 week of the month_firstweek <= 0.5 gini = 0.132 samples = 395 value = [367, 28] 617->649 619 campaign <= -0.408 gini = 0.076 samples = 101 value = [97, 4] 618->619 638 balance <= -0.123 gini = 0.01 samples = 414 value = [412, 2] 618->638 620 balance <= -0.442 gini = 0.32 samples = 10 value = [8, 2] 619->620 627 balance <= -0.453 gini = 0.043 samples = 91 value = [89, 2] 619->627 621 gini = 0.0 samples = 1 value = [0, 1] 620->621 622 job_technician <= 0.5 gini = 0.198 samples = 9 value = [8, 1] 620->622 623 gini = 0.0 samples = 7 value = [7, 0] 622->623 624 duration <= -0.698 gini = 0.5 samples = 2 value = [1, 1] 622->624 625 gini = 0.0 samples = 1 value = [0, 1] 624->625 626 gini = 0.0 samples = 1 value = [1, 0] 624->626 628 balance <= -0.466 gini = 0.32 samples = 5 value = [4, 1] 627->628 631 marital_divorced <= 0.5 gini = 0.023 samples = 86 value = [85, 1] 627->631 629 gini = 0.0 samples = 4 value = [4, 0] 628->629 630 gini = 0.0 samples = 1 value = [0, 1] 628->630 632 gini = 0.0 samples = 78 value = [78, 0] 631->632 633 duration <= -0.748 gini = 0.219 samples = 8 value = [7, 1] 631->633 634 gini = 0.0 samples = 6 value = [6, 0] 633->634 635 duration <= -0.698 gini = 0.5 samples = 2 value = [1, 1] 633->635 636 gini = 0.0 samples = 1 value = [0, 1] 635->636 637 gini = 0.0 samples = 1 value = [1, 0] 635->637 639 gini = 0.0 samples = 323 value = [323, 0] 638->639 640 balance <= -0.121 gini = 0.043 samples = 91 value = [89, 2] 638->640 641 gini = 0.0 samples = 1 value = [0, 1] 640->641 642 age <= -1.077 gini = 0.022 samples = 90 value = [89, 1] 640->642 643 job_management <= 0.5 gini = 0.198 samples = 9 value = [8, 1] 642->643 648 gini = 0.0 samples = 81 value = [81, 0] 642->648 644 gini = 0.0 samples = 7 value = [7, 0] 643->644 645 duration <= -0.814 gini = 0.5 samples = 2 value = [1, 1] 643->645 646 gini = 0.0 samples = 1 value = [1, 0] 645->646 647 gini = 0.0 samples = 1 value = [0, 1] 645->647 650 campaign <= -0.408 gini = 0.348 samples = 49 value = [38, 11] 649->650 667 duration <= -0.212 gini = 0.093 samples = 346 value = [329, 17] 649->667 651 duration <= -0.331 gini = 0.48 samples = 10 value = [4, 6] 650->651 656 balance <= 0.731 gini = 0.224 samples = 39 value = [34, 5] 650->656 652 balance <= 0.739 gini = 0.245 samples = 7 value = [1, 6] 651->652 655 gini = 0.0 samples = 3 value = [3, 0] 651->655 653 gini = 0.0 samples = 6 value = [0, 6] 652->653 654 gini = 0.0 samples = 1 value = [1, 0] 652->654 657 duration <= -0.533 gini = 0.149 samples = 37 value = [34, 3] 656->657 666 gini = 0.0 samples = 2 value = [0, 2] 656->666 658 gini = 0.0 samples = 1 value = [0, 1] 657->658 659 age <= -1.548 gini = 0.105 samples = 36 value = [34, 2] 657->659 660 gini = 0.0 samples = 1 value = [0, 1] 659->660 661 campaign <= 0.883 gini = 0.056 samples = 35 value = [34, 1] 659->661 662 gini = 0.0 samples = 30 value = [30, 0] 661->662 663 duration <= -0.445 gini = 0.32 samples = 5 value = [4, 1] 661->663 664 gini = 0.0 samples = 1 value = [0, 1] 663->664 665 gini = 0.0 samples = 4 value = [4, 0] 663->665 668 age <= -0.324 gini = 0.085 samples = 338 value = [323, 15] 667->668 737 job_student <= 0.5 gini = 0.375 samples = 8 value = [6, 2] 667->737 669 campaign <= 0.883 gini = 0.129 samples = 173 value = [161, 12] 668->669 716 job_management <= 0.5 gini = 0.036 samples = 165 value = [162, 3] 668->716 670 duration <= -0.338 gini = 0.12 samples = 171 value = [160, 11] 669->670 713 poutcome_unknown <= 0.5 gini = 0.5 samples = 2 value = [1, 1] 669->713 671 age <= -0.418 gini = 0.067 samples = 115 value = [111, 4] 670->671 694 age <= -1.454 gini = 0.219 samples = 56 value = [49, 7] 670->694 672 balance <= 0.295 gini = 0.038 samples = 102 value = [100, 2] 671->672 685 job_admin. <= 0.5 gini = 0.26 samples = 13 value = [11, 2] 671->685 673 job_blue-collar <= 0.5 gini = 0.022 samples = 91 value = [90, 1] 672->673 682 balance <= 0.364 gini = 0.165 samples = 11 value = [10, 1] 672->682 674 gini = 0.0 samples = 78 value = [78, 0] 673->674 675 campaign <= -0.085 gini = 0.142 samples = 13 value = [12, 1] 673->675 676 gini = 0.0 samples = 9 value = [9, 0] 675->676 677 age <= -0.653 gini = 0.375 samples = 4 value = [3, 1] 675->677 678 campaign <= 0.238 gini = 0.5 samples = 2 value = [1, 1] 677->678 681 gini = 0.0 samples = 2 value = [2, 0] 677->681 679 gini = 0.0 samples = 1 value = [0, 1] 678->679 680 gini = 0.0 samples = 1 value = [1, 0] 678->680 683 gini = 0.0 samples = 1 value = [0, 1] 682->683 684 gini = 0.0 samples = 10 value = [10, 0] 682->684 686 loan_no <= 0.5 gini = 0.153 samples = 12 value = [11, 1] 685->686 693 gini = 0.0 samples = 1 value = [0, 1] 685->693 687 duration <= -0.467 gini = 0.375 samples = 4 value = [3, 1] 686->687 692 gini = 0.0 samples = 8 value = [8, 0] 686->692 688 gini = 0.0 samples = 2 value = [2, 0] 687->688 689 duration <= -0.41 gini = 0.5 samples = 2 value = [1, 1] 687->689 690 gini = 0.0 samples = 1 value = [0, 1] 689->690 691 gini = 0.0 samples = 1 value = [1, 0] 689->691 695 gini = 0.0 samples = 1 value = [0, 1] 694->695 696 housing_yes <= 0.5 gini = 0.194 samples = 55 value = [49, 6] 694->696 697 education_tertiary <= 0.5 gini = 0.311 samples = 26 value = [21, 5] 696->697 708 job_admin. <= 0.5 gini = 0.067 samples = 29 value = [28, 1] 696->708 698 duration <= -0.329 gini = 0.117 samples = 16 value = [15, 1] 697->698 701 duration <= -0.241 gini = 0.48 samples = 10 value = [6, 4] 697->701 699 gini = 0.0 samples = 1 value = [0, 1] 698->699 700 gini = 0.0 samples = 15 value = [15, 0] 698->700 702 duration <= -0.309 gini = 0.49 samples = 7 value = [3, 4] 701->702 707 gini = 0.0 samples = 3 value = [3, 0] 701->707 703 gini = 0.0 samples = 2 value = [2, 0] 702->703 704 loan_yes <= 0.5 gini = 0.32 samples = 5 value = [1, 4] 702->704 705 gini = 0.0 samples = 4 value = [0, 4] 704->705 706 gini = 0.0 samples = 1 value = [1, 0] 704->706 709 gini = 0.0 samples = 25 value = [25, 0] 708->709 710 balance <= -0.261 gini = 0.375 samples = 4 value = [3, 1] 708->710 711 gini = 0.0 samples = 3 value = [3, 0] 710->711 712 gini = 0.0 samples = 1 value = [0, 1] 710->712 714 gini = 0.0 samples = 1 value = [1, 0] 713->714 715 gini = 0.0 samples = 1 value = [0, 1] 713->715 717 job_blue-collar <= 0.5 gini = 0.015 samples = 131 value = [130, 1] 716->717 726 age <= 0.759 gini = 0.111 samples = 34 value = [32, 2] 716->726 718 gini = 0.0 samples = 105 value = [105, 0] 717->718 719 age <= 0.053 gini = 0.074 samples = 26 value = [25, 1] 717->719 720 duration <= -0.387 gini = 0.219 samples = 8 value = [7, 1] 719->720 725 gini = 0.0 samples = 18 value = [18, 0] 719->725 721 education_primary <= 0.5 gini = 0.444 samples = 3 value = [2, 1] 720->721 724 gini = 0.0 samples = 5 value = [5, 0] 720->724 722 gini = 0.0 samples = 2 value = [2, 0] 721->722 723 gini = 0.0 samples = 1 value = [0, 1] 721->723 727 gini = 0.0 samples = 20 value = [20, 0] 726->727 728 age <= 1.183 gini = 0.245 samples = 14 value = [12, 2] 726->728 729 duration <= -0.3 gini = 0.408 samples = 7 value = [5, 2] 728->729 736 gini = 0.0 samples = 7 value = [7, 0] 728->736 730 age <= 0.901 gini = 0.5 samples = 4 value = [2, 2] 729->730 735 gini = 0.0 samples = 3 value = [3, 0] 729->735 731 gini = 0.0 samples = 1 value = [0, 1] 730->731 732 age <= 1.089 gini = 0.444 samples = 3 value = [2, 1] 730->732 733 gini = 0.0 samples = 2 value = [2, 0] 732->733 734 gini = 0.0 samples = 1 value = [0, 1] 732->734 738 education_tertiary <= 0.5 gini = 0.245 samples = 7 value = [6, 1] 737->738 743 gini = 0.0 samples = 1 value = [0, 1] 737->743 739 gini = 0.0 samples = 5 value = [5, 0] 738->739 740 loan_no <= 0.5 gini = 0.5 samples = 2 value = [1, 1] 738->740 741 gini = 0.0 samples = 1 value = [1, 0] 740->741 742 gini = 0.0 samples = 1 value = [0, 1] 740->742 745 job_self-employed <= 0.5 gini = 0.26 samples = 26 value = [22, 4] 744->745 756 balance <= -0.357 gini = 0.49 samples = 14 value = [6, 8] 744->756 746 job_unemployed <= 0.5 gini = 0.211 samples = 25 value = [22, 3] 745->746 755 gini = 0.0 samples = 1 value = [0, 1] 745->755 747 age <= -0.7 gini = 0.153 samples = 24 value = [22, 2] 746->747 754 gini = 0.0 samples = 1 value = [0, 1] 746->754 748 balance <= -0.249 gini = 0.346 samples = 9 value = [7, 2] 747->748 753 gini = 0.0 samples = 15 value = [15, 0] 747->753 749 gini = 0.0 samples = 4 value = [4, 0] 748->749 750 education_secondary <= 0.5 gini = 0.48 samples = 5 value = [3, 2] 748->750 751 gini = 0.0 samples = 3 value = [3, 0] 750->751 752 gini = 0.0 samples = 2 value = [0, 2] 750->752 757 gini = 0.0 samples = 3 value = [3, 0] 756->757 758 campaign <= 0.076 gini = 0.397 samples = 11 value = [3, 8] 756->758 759 duration <= -0.23 gini = 0.198 samples = 9 value = [1, 8] 758->759 762 gini = 0.0 samples = 2 value = [2, 0] 758->762 760 gini = 0.0 samples = 8 value = [0, 8] 759->760 761 gini = 0.0 samples = 1 value = [1, 0] 759->761 764 education_tertiary <= 0.5 gini = 0.48 samples = 25 value = [15, 10] 763->764 781 gini = 0.0 samples = 4 value = [0, 4] 763->781 765 contact_cellular <= 0.5 gini = 0.499 samples = 19 value = [9, 10] 764->765 780 gini = 0.0 samples = 6 value = [6, 0] 764->780 766 gini = 0.0 samples = 3 value = [3, 0] 765->766 767 balance <= -0.393 gini = 0.469 samples = 16 value = [6, 10] 765->767 768 gini = 0.0 samples = 2 value = [2, 0] 767->768 769 poutcome_failure <= 0.5 gini = 0.408 samples = 14 value = [4, 10] 767->769 770 age <= 1.748 gini = 0.298 samples = 11 value = [2, 9] 769->770 777 campaign <= -0.247 gini = 0.444 samples = 3 value = [2, 1] 769->777 771 job_services <= 0.5 gini = 0.18 samples = 10 value = [1, 9] 770->771 776 gini = 0.0 samples = 1 value = [1, 0] 770->776 772 gini = 0.0 samples = 8 value = [0, 8] 771->772 773 campaign <= -0.408 gini = 0.5 samples = 2 value = [1, 1] 771->773 774 gini = 0.0 samples = 1 value = [0, 1] 773->774 775 gini = 0.0 samples = 1 value = [1, 0] 773->775 778 gini = 0.0 samples = 2 value = [2, 0] 777->778 779 gini = 0.0 samples = 1 value = [0, 1] 777->779 783 duration <= -0.601 gini = 0.376 samples = 227 value = [170, 57] 782->783 870 week of the month_forthweek <= 0.5 gini = 0.043 samples = 639 value = [625, 14] 782->870 784 balance <= -0.438 gini = 0.121 samples = 77 value = [72, 5] 783->784 797 week of the month_forthweek <= 0.5 gini = 0.453 samples = 150 value = [98, 52] 783->797 785 balance <= -0.445 gini = 0.444 samples = 6 value = [4, 2] 784->785 788 duration <= -0.628 gini = 0.081 samples = 71 value = [68, 3] 784->788 786 gini = 0.0 samples = 4 value = [4, 0] 785->786 787 gini = 0.0 samples = 2 value = [0, 2] 785->787 789 gini = 0.0 samples = 57 value = [57, 0] 788->789 790 duration <= -0.624 gini = 0.337 samples = 14 value = [11, 3] 788->790 791 job_unemployed <= 0.5 gini = 0.444 samples = 3 value = [1, 2] 790->791 794 balance <= 2.802 gini = 0.165 samples = 11 value = [10, 1] 790->794 792 gini = 0.0 samples = 2 value = [0, 2] 791->792 793 gini = 0.0 samples = 1 value = [1, 0] 791->793 795 gini = 0.0 samples = 10 value = [10, 0] 794->795 796 gini = 0.0 samples = 1 value = [0, 1] 794->796 798 marital_single <= 0.5 gini = 0.495 samples = 91 value = [50, 41] 797->798 847 duration <= -0.23 gini = 0.303 samples = 59 value = [48, 11] 797->847 799 age <= 1.654 gini = 0.402 samples = 43 value = [31, 12] 798->799 820 poutcome_unknown <= 0.5 gini = 0.478 samples = 48 value = [19, 29] 798->820 800 balance <= -0.385 gini = 0.387 samples = 42 value = [31, 11] 799->800 819 gini = 0.0 samples = 1 value = [0, 1] 799->819 801 gini = 0.0 samples = 9 value = [9, 0] 800->801 802 balance <= -0.244 gini = 0.444 samples = 33 value = [22, 11] 800->802 803 poutcome_failure <= 0.5 gini = 0.444 samples = 9 value = [3, 6] 802->803 808 duration <= -0.327 gini = 0.33 samples = 24 value = [19, 5] 802->808 804 job_blue-collar <= 0.5 gini = 0.245 samples = 7 value = [1, 6] 803->804 807 gini = 0.0 samples = 2 value = [2, 0] 803->807 805 gini = 0.0 samples = 6 value = [0, 6] 804->805 806 gini = 0.0 samples = 1 value = [1, 0] 804->806 809 balance <= -0.136 gini = 0.117 samples = 16 value = [15, 1] 808->809 814 job_admin. <= 0.5 gini = 0.5 samples = 8 value = [4, 4] 808->814 810 balance <= -0.178 gini = 0.444 samples = 3 value = [2, 1] 809->810 813 gini = 0.0 samples = 13 value = [13, 0] 809->813 811 gini = 0.0 samples = 2 value = [2, 0] 810->811 812 gini = 0.0 samples = 1 value = [0, 1] 810->812 815 balance <= 0.282 gini = 0.444 samples = 6 value = [4, 2] 814->815 818 gini = 0.0 samples = 2 value = [0, 2] 814->818 816 gini = 0.0 samples = 4 value = [4, 0] 815->816 817 gini = 0.0 samples = 2 value = [0, 2] 815->817 821 gini = 0.0 samples = 5 value = [5, 0] 820->821 822 contact_telephone <= 0.5 gini = 0.439 samples = 43 value = [14, 29] 820->822 823 education_unknown <= 0.5 gini = 0.381 samples = 39 value = [10, 29] 822->823 846 gini = 0.0 samples = 4 value = [4, 0] 822->846 824 week of the month_firstweek <= 0.5 gini = 0.339 samples = 37 value = [8, 29] 823->824 845 gini = 0.0 samples = 2 value = [2, 0] 823->845 825 age <= -0.983 gini = 0.271 samples = 31 value = [5, 26] 824->825 842 age <= -1.218 gini = 0.5 samples = 6 value = [3, 3] 824->842 826 balance <= 3.106 gini = 0.351 samples = 22 value = [5, 17] 825->826 841 gini = 0.0 samples = 9 value = [0, 9] 825->841 827 age <= -1.171 gini = 0.308 samples = 21 value = [4, 17] 826->827 840 gini = 0.0 samples = 1 value = [1, 0] 826->840 828 job_management <= 0.5 gini = 0.142 samples = 13 value = [1, 12] 827->828 831 balance <= -0.409 gini = 0.469 samples = 8 value = [3, 5] 827->831 829 gini = 0.0 samples = 12 value = [0, 12] 828->829 830 gini = 0.0 samples = 1 value = [1, 0] 828->830 832 gini = 0.0 samples = 1 value = [1, 0] 831->832 833 campaign <= -0.085 gini = 0.408 samples = 7 value = [2, 5] 831->833 834 job_management <= 0.5 gini = 0.48 samples = 5 value = [2, 3] 833->834 839 gini = 0.0 samples = 2 value = [0, 2] 833->839 835 balance <= 0.297 gini = 0.444 samples = 3 value = [2, 1] 834->835 838 gini = 0.0 samples = 2 value = [0, 2] 834->838 836 gini = 0.0 samples = 2 value = [2, 0] 835->836 837 gini = 0.0 samples = 1 value = [0, 1] 835->837 843 gini = 0.0 samples = 3 value = [0, 3] 842->843 844 gini = 0.0 samples = 3 value = [3, 0] 842->844 848 job_services <= 0.5 gini = 0.245 samples = 56 value = [48, 8] 847->848 869 gini = 0.0 samples = 3 value = [0, 3] 847->869 849 campaign <= -0.408 gini = 0.204 samples = 52 value = [46, 6] 848->849 866 age <= -0.277 gini = 0.5 samples = 4 value = [2, 2] 848->866 850 age <= 1.513 gini = 0.312 samples = 31 value = [25, 6] 849->850 865 gini = 0.0 samples = 21 value = [21, 0] 849->865 851 duration <= -0.331 gini = 0.245 samples = 28 value = [24, 4] 850->851 862 duration <= -0.515 gini = 0.444 samples = 3 value = [1, 2] 850->862 852 duration <= -0.558 gini = 0.159 samples = 23 value = [21, 2] 851->852 859 duration <= -0.29 gini = 0.48 samples = 5 value = [3, 2] 851->859 853 education_tertiary <= 0.5 gini = 0.444 samples = 6 value = [4, 2] 852->853 858 gini = 0.0 samples = 17 value = [17, 0] 852->858 854 gini = 0.0 samples = 3 value = [3, 0] 853->854 855 poutcome_other <= 0.5 gini = 0.444 samples = 3 value = [1, 2] 853->855 856 gini = 0.0 samples = 2 value = [0, 2] 855->856 857 gini = 0.0 samples = 1 value = [1, 0] 855->857 860 gini = 0.0 samples = 2 value = [0, 2] 859->860 861 gini = 0.0 samples = 3 value = [3, 0] 859->861 863 gini = 0.0 samples = 1 value = [1, 0] 862->863 864 gini = 0.0 samples = 2 value = [0, 2] 862->864 867 gini = 0.0 samples = 2 value = [0, 2] 866->867 868 gini = 0.0 samples = 2 value = [2, 0] 866->868 871 job_retired <= 0.5 gini = 0.026 samples = 600 value = [592, 8] 870->871 906 loan_no <= 0.5 gini = 0.26 samples = 39 value = [33, 6] 870->906 872 duration <= -0.208 gini = 0.023 samples = 597 value = [590, 7] 871->872 903 poutcome_other <= 0.5 gini = 0.444 samples = 3 value = [2, 1] 871->903 873 job_self-employed <= 0.5 gini = 0.02 samples = 593 value = [587, 6] 872->873 900 age <= -0.465 gini = 0.375 samples = 4 value = [3, 1] 872->900 874 balance <= 0.206 gini = 0.014 samples = 573 value = [569, 4] 873->874 893 duration <= -0.251 gini = 0.18 samples = 20 value = [18, 2] 873->893 875 marital_divorced <= 0.5 gini = 0.004 samples = 469 value = [468, 1] 874->875 882 balance <= 0.208 gini = 0.056 samples = 104 value = [101, 3] 874->882 876 gini = 0.0 samples = 422 value = [422, 0] 875->876 877 campaign <= 0.238 gini = 0.042 samples = 47 value = [46, 1] 875->877 878 gini = 0.0 samples = 40 value = [40, 0] 877->878 879 balance <= -0.447 gini = 0.245 samples = 7 value = [6, 1] 877->879 880 gini = 0.0 samples = 1 value = [0, 1] 879->880 881 gini = 0.0 samples = 6 value = [6, 0] 879->881 883 gini = 0.0 samples = 1 value = [0, 1] 882->883 884 balance <= 0.44 gini = 0.038 samples = 103 value = [101, 2] 882->884 885 balance <= 0.431 gini = 0.117 samples = 32 value = [30, 2] 884->885 892 gini = 0.0 samples = 71 value = [71, 0] 884->892 886 duration <= -0.375 gini = 0.062 samples = 31 value = [30, 1] 885->886 891 gini = 0.0 samples = 1 value = [0, 1] 885->891 887 gini = 0.0 samples = 28 value = [28, 0] 886->887 888 poutcome_unknown <= 0.5 gini = 0.444 samples = 3 value = [2, 1] 886->888 889 gini = 0.0 samples = 1 value = [0, 1] 888->889 890 gini = 0.0 samples = 2 value = [2, 0] 888->890 894 age <= 0.665 gini = 0.1 samples = 19 value = [18, 1] 893->894 899 gini = 0.0 samples = 1 value = [0, 1] 893->899 895 gini = 0.0 samples = 17 value = [17, 0] 894->895 896 marital_married <= 0.5 gini = 0.5 samples = 2 value = [1, 1] 894->896 897 gini = 0.0 samples = 1 value = [0, 1] 896->897 898 gini = 0.0 samples = 1 value = [1, 0] 896->898 901 gini = 0.0 samples = 1 value = [0, 1] 900->901 902 gini = 0.0 samples = 3 value = [3, 0] 900->902 904 gini = 0.0 samples = 2 value = [2, 0] 903->904 905 gini = 0.0 samples = 1 value = [0, 1] 903->905 907 gini = 0.0 samples = 11 value = [11, 0] 906->907 908 age <= 0.759 gini = 0.337 samples = 28 value = [22, 6] 906->908 909 poutcome_other <= 0.5 gini = 0.269 samples = 25 value = [21, 4] 908->909 922 duration <= -0.665 gini = 0.444 samples = 3 value = [1, 2] 908->922 910 duration <= -0.742 gini = 0.219 samples = 24 value = [21, 3] 909->910 921 gini = 0.0 samples = 1 value = [0, 1] 909->921 911 poutcome_unknown <= 0.5 gini = 0.5 samples = 2 value = [1, 1] 910->911 914 job_admin. <= 0.5 gini = 0.165 samples = 22 value = [20, 2] 910->914 912 gini = 0.0 samples = 1 value = [0, 1] 911->912 913 gini = 0.0 samples = 1 value = [1, 0] 911->913 915 gini = 0.0 samples = 13 value = [13, 0] 914->915 916 duration <= -0.358 gini = 0.346 samples = 9 value = [7, 2] 914->916 917 balance <= 0.411 gini = 0.219 samples = 8 value = [7, 1] 916->917 920 gini = 0.0 samples = 1 value = [0, 1] 916->920 918 gini = 0.0 samples = 7 value = [7, 0] 917->918 919 gini = 0.0 samples = 1 value = [0, 1] 917->919 923 gini = 0.0 samples = 1 value = [1, 0] 922->923 924 gini = 0.0 samples = 2 value = [0, 2] 922->924 926 month_feb <= 0.5 gini = 0.073 samples = 106 value = [102, 4] 925->926 943 poutcome_failure <= 0.5 gini = 0.384 samples = 143 value = [106, 37] 925->943 927 month_sep <= 0.5 gini = 0.023 samples = 86 value = [85, 1] 926->927 934 week of the month_thirdweek <= 0.5 gini = 0.255 samples = 20 value = [17, 3] 926->934 928 gini = 0.0 samples = 77 value = [77, 0] 927->928 929 education_tertiary <= 0.5 gini = 0.198 samples = 9 value = [8, 1] 927->929 930 gini = 0.0 samples = 7 value = [7, 0] 929->930 931 job_retired <= 0.5 gini = 0.5 samples = 2 value = [1, 1] 929->931 932 gini = 0.0 samples = 1 value = [1, 0] 931->932 933 gini = 0.0 samples = 1 value = [0, 1] 931->933 935 job_retired <= 0.5 gini = 0.117 samples = 16 value = [15, 1] 934->935 940 duration <= -0.643 gini = 0.5 samples = 4 value = [2, 2] 934->940 936 duration <= -0.57 gini = 0.5 samples = 2 value = [1, 1] 935->936 939 gini = 0.0 samples = 14 value = [14, 0] 935->939 937 gini = 0.0 samples = 1 value = [0, 1] 936->937 938 gini = 0.0 samples = 1 value = [1, 0] 936->938 941 gini = 0.0 samples = 2 value = [2, 0] 940->941 942 gini = 0.0 samples = 2 value = [0, 2] 940->942 944 week of the month_thirdweek <= 0.5 gini = 0.419 samples = 117 value = [82, 35] 943->944 999 month_dec <= 0.5 gini = 0.142 samples = 26 value = [24, 2] 943->999 945 duration <= -0.472 gini = 0.37 samples = 94 value = [71, 23] 944->945 984 duration <= -0.269 gini = 0.499 samples = 23 value = [11, 12] 944->984 946 age <= 2.878 gini = 0.5 samples = 16 value = [8, 8] 945->946 955 age <= 4.103 gini = 0.311 samples = 78 value = [63, 15] 945->955 947 duration <= -0.484 gini = 0.375 samples = 8 value = [2, 6] 946->947 952 campaign <= -0.408 gini = 0.375 samples = 8 value = [6, 2] 946->952 948 gini = 0.0 samples = 5 value = [0, 5] 947->948 949 age <= 2.549 gini = 0.444 samples = 3 value = [2, 1] 947->949 950 gini = 0.0 samples = 2 value = [2, 0] 949->950 951 gini = 0.0 samples = 1 value = [0, 1] 949->951 953 gini = 0.0 samples = 2 value = [0, 2] 952->953 954 gini = 0.0 samples = 6 value = [6, 0] 952->954 956 contact_cellular <= 0.5 gini = 0.275 samples = 73 value = [61, 12] 955->956 981 education_unknown <= 0.5 gini = 0.48 samples = 5 value = [2, 3] 955->981 957 gini = 0.0 samples = 23 value = [23, 0] 956->957 958 duration <= -0.263 gini = 0.365 samples = 50 value = [38, 12] 956->958 959 duration <= -0.292 gini = 0.426 samples = 39 value = [27, 12] 958->959 980 gini = 0.0 samples = 11 value = [11, 0] 958->980 960 job_unemployed <= 0.5 gini = 0.367 samples = 33 value = [25, 8] 959->960 975 duration <= -0.278 gini = 0.444 samples = 6 value = [2, 4] 959->975 961 balance <= 0.042 gini = 0.342 samples = 32 value = [25, 7] 960->961 974 gini = 0.0 samples = 1 value = [0, 1] 960->974 962 gini = 0.0 samples = 11 value = [11, 0] 961->962 963 balance <= 0.751 gini = 0.444 samples = 21 value = [14, 7] 961->963 964 week of the month_secondweek <= 0.5 gini = 0.5 samples = 14 value = [7, 7] 963->964 973 gini = 0.0 samples = 7 value = [7, 0] 963->973 965 balance <= 0.355 gini = 0.463 samples = 11 value = [7, 4] 964->965 972 gini = 0.0 samples = 3 value = [0, 3] 964->972 966 gini = 0.0 samples = 5 value = [5, 0] 965->966 967 age <= 2.972 gini = 0.444 samples = 6 value = [2, 4] 965->967 968 gini = 0.0 samples = 3 value = [0, 3] 967->968 969 duration <= -0.42 gini = 0.444 samples = 3 value = [2, 1] 967->969 970 gini = 0.0 samples = 2 value = [2, 0] 969->970 971 gini = 0.0 samples = 1 value = [0, 1] 969->971 976 gini = 0.0 samples = 3 value = [0, 3] 975->976 977 age <= 3.349 gini = 0.444 samples = 3 value = [2, 1] 975->977 978 gini = 0.0 samples = 2 value = [2, 0] 977->978 979 gini = 0.0 samples = 1 value = [0, 1] 977->979 982 gini = 0.0 samples = 3 value = [0, 3] 981->982 983 gini = 0.0 samples = 2 value = [2, 0] 981->983 985 campaign <= 0.238 gini = 0.488 samples = 19 value = [11, 8] 984->985 998 gini = 0.0 samples = 4 value = [0, 4] 984->998 986 marital_divorced <= 0.5 gini = 0.498 samples = 15 value = [7, 8] 985->986 997 gini = 0.0 samples = 4 value = [4, 0] 985->997 987 month_feb <= 0.5 gini = 0.486 samples = 12 value = [7, 5] 986->987 996 gini = 0.0 samples = 3 value = [0, 3] 986->996 988 job_admin. <= 0.5 gini = 0.42 samples = 10 value = [7, 3] 987->988 995 gini = 0.0 samples = 2 value = [0, 2] 987->995 989 balance <= 1.577 gini = 0.346 samples = 9 value = [7, 2] 988->989 994 gini = 0.0 samples = 1 value = [0, 1] 988->994 990 month_nov <= 0.5 gini = 0.219 samples = 8 value = [7, 1] 989->990 993 gini = 0.0 samples = 1 value = [0, 1] 989->993 991 gini = 0.0 samples = 7 value = [7, 0] 990->991 992 gini = 0.0 samples = 1 value = [0, 1] 990->992 1000 job_blue-collar <= 0.5 gini = 0.077 samples = 25 value = [24, 1] 999->1000 1005 gini = 0.0 samples = 1 value = [0, 1] 999->1005 1001 gini = 0.0 samples = 23 value = [23, 0] 1000->1001 1002 contact_cellular <= 0.5 gini = 0.5 samples = 2 value = [1, 1] 1000->1002 1003 gini = 0.0 samples = 1 value = [1, 0] 1002->1003 1004 gini = 0.0 samples = 1 value = [0, 1] 1002->1004 1007 marital_divorced <= 0.5 gini = 0.053 samples = 73 value = [71, 2] 1006->1007 1014 week of the month_forthweek <= 0.5 gini = 0.436 samples = 162 value = [110, 52] 1006->1014 1008 gini = 0.0 samples = 65 value = [65, 0] 1007->1008 1009 week of the month_forthweek <= 0.5 gini = 0.375 samples = 8 value = [6, 2] 1007->1009 1010 gini = 0.0 samples = 5 value = [5, 0] 1009->1010 1011 job_retired <= 0.5 gini = 0.444 samples = 3 value = [1, 2] 1009->1011 1012 gini = 0.0 samples = 2 value = [0, 2] 1011->1012 1013 gini = 0.0 samples = 1 value = [1, 0] 1011->1013 1015 job_services <= 0.5 gini = 0.34 samples = 106 value = [83, 23] 1014->1015 1062 balance <= -0.174 gini = 0.499 samples = 56 value = [27, 29] 1014->1062 1016 duration <= -0.496 gini = 0.322 samples = 104 value = [83, 21] 1015->1016 1061 gini = 0.0 samples = 2 value = [0, 2] 1015->1061 1017 duration <= -0.606 gini = 0.145 samples = 38 value = [35, 3] 1016->1017 1030 contact_unknown <= 0.5 gini = 0.397 samples = 66 value = [48, 18] 1016->1030 1018 age <= 0.477 gini = 0.444 samples = 6 value = [4, 2] 1017->1018 1023 poutcome_failure <= 0.5 gini = 0.061 samples = 32 value = [31, 1] 1017->1023 1019 gini = 0.0 samples = 3 value = [3, 0] 1018->1019 1020 balance <= -0.112 gini = 0.444 samples = 3 value = [1, 2] 1018->1020 1021 gini = 0.0 samples = 2 value = [0, 2] 1020->1021 1022 gini = 0.0 samples = 1 value = [1, 0] 1020->1022 1024 gini = 0.0 samples = 26 value = [26, 0] 1023->1024 1025 job_management <= 0.5 gini = 0.278 samples = 6 value = [5, 1] 1023->1025 1026 gini = 0.0 samples = 4 value = [4, 0] 1025->1026 1027 week of the month_secondweek <= 0.5 gini = 0.5 samples = 2 value = [1, 1] 1025->1027 1028 gini = 0.0 samples = 1 value = [0, 1] 1027->1028 1029 gini = 0.0 samples = 1 value = [1, 0] 1027->1029 1031 age <= -0.7 gini = 0.375 samples = 64 value = [48, 16] 1030->1031 1060 gini = 0.0 samples = 2 value = [0, 2] 1030->1060 1032 balance <= 1.924 gini = 0.495 samples = 20 value = [11, 9] 1031->1032 1047 age <= 1.419 gini = 0.268 samples = 44 value = [37, 7] 1031->1047 1033 campaign <= -0.408 gini = 0.498 samples = 17 value = [8, 9] 1032->1033 1046 gini = 0.0 samples = 3 value = [3, 0] 1032->1046 1034 age <= -1.36 gini = 0.42 samples = 10 value = [3, 7] 1033->1034 1041 job_management <= 0.5 gini = 0.408 samples = 7 value = [5, 2] 1033->1041 1035 duration <= -0.422 gini = 0.48 samples = 5 value = [3, 2] 1034->1035 1040 gini = 0.0 samples = 5 value = [0, 5] 1034->1040 1036 education_tertiary <= 0.5 gini = 0.444 samples = 3 value = [1, 2] 1035->1036 1039 gini = 0.0 samples = 2 value = [2, 0] 1035->1039 1037 gini = 0.0 samples = 2 value = [0, 2] 1036->1037 1038 gini = 0.0 samples = 1 value = [1, 0] 1036->1038 1042 gini = 0.0 samples = 4 value = [4, 0] 1041->1042 1043 housing_yes <= 0.5 gini = 0.444 samples = 3 value = [1, 2] 1041->1043 1044 gini = 0.0 samples = 2 value = [0, 2] 1043->1044 1045 gini = 0.0 samples = 1 value = [1, 0] 1043->1045 1048 duration <= -0.469 gini = 0.069 samples = 28 value = [27, 1] 1047->1048 1053 job_management <= 0.5 gini = 0.469 samples = 16 value = [10, 6] 1047->1053 1049 week of the month_secondweek <= 0.5 gini = 0.444 samples = 3 value = [2, 1] 1048->1049 1052 gini = 0.0 samples = 25 value = [25, 0] 1048->1052 1050 gini = 0.0 samples = 1 value = [0, 1] 1049->1050 1051 gini = 0.0 samples = 2 value = [2, 0] 1049->1051 1054 balance <= 0.732 gini = 0.355 samples = 13 value = [10, 3] 1053->1054 1059 gini = 0.0 samples = 3 value = [0, 3] 1053->1059 1055 gini = 0.0 samples = 8 value = [8, 0] 1054->1055 1056 age <= 1.842 gini = 0.48 samples = 5 value = [2, 3] 1054->1056 1057 gini = 0.0 samples = 2 value = [2, 0] 1056->1057 1058 gini = 0.0 samples = 3 value = [0, 3] 1056->1058 1063 job_management <= 0.5 gini = 0.308 samples = 21 value = [4, 17] 1062->1063 1070 duration <= -0.465 gini = 0.451 samples = 35 value = [23, 12] 1062->1070 1064 duration <= -0.265 gini = 0.124 samples = 15 value = [1, 14] 1063->1064 1067 duration <= -0.54 gini = 0.5 samples = 6 value = [3, 3] 1063->1067 1065 gini = 0.0 samples = 14 value = [0, 14] 1064->1065 1066 gini = 0.0 samples = 1 value = [1, 0] 1064->1066 1068 gini = 0.0 samples = 3 value = [3, 0] 1067->1068 1069 gini = 0.0 samples = 3 value = [0, 3] 1067->1069 1071 balance <= 0.067 gini = 0.426 samples = 13 value = [4, 9] 1070->1071 1074 job_services <= 0.5 gini = 0.236 samples = 22 value = [19, 3] 1070->1074 1072 gini = 0.0 samples = 4 value = [4, 0] 1071->1072 1073 gini = 0.0 samples = 9 value = [0, 9] 1071->1073 1075 balance <= 0.657 gini = 0.172 samples = 21 value = [19, 2] 1074->1075 1082 gini = 0.0 samples = 1 value = [0, 1] 1074->1082 1076 gini = 0.0 samples = 14 value = [14, 0] 1075->1076 1077 balance <= 0.74 gini = 0.408 samples = 7 value = [5, 2] 1075->1077 1078 gini = 0.0 samples = 1 value = [0, 1] 1077->1078 1079 duration <= -0.307 gini = 0.278 samples = 6 value = [5, 1] 1077->1079 1080 gini = 0.0 samples = 5 value = [5, 0] 1079->1080 1081 gini = 0.0 samples = 1 value = [0, 1] 1079->1081 1084 job_entrepreneur <= 0.5 gini = 0.222 samples = 63 value = [55, 8] 1083->1084 1103 campaign <= 0.883 gini = 0.5 samples = 99 value = [48, 51] 1083->1103 1085 job_management <= 0.5 gini = 0.2 samples = 62 value = [55, 7] 1084->1085 1102 gini = 0.0 samples = 1 value = [0, 1] 1084->1102 1086 duration <= -0.636 gini = 0.122 samples = 46 value = [43, 3] 1085->1086 1093 balance <= 0.167 gini = 0.375 samples = 16 value = [12, 4] 1085->1093 1087 gini = 0.0 samples = 32 value = [32, 0] 1086->1087 1088 balance <= -0.3 gini = 0.337 samples = 14 value = [11, 3] 1086->1088 1089 duration <= -0.62 gini = 0.48 samples = 5 value = [2, 3] 1088->1089 1092 gini = 0.0 samples = 9 value = [9, 0] 1088->1092 1090 gini = 0.0 samples = 3 value = [0, 3] 1089->1090 1091 gini = 0.0 samples = 2 value = [2, 0] 1089->1091 1094 age <= -0.794 gini = 0.26 samples = 13 value = [11, 2] 1093->1094 1099 campaign <= -0.408 gini = 0.444 samples = 3 value = [1, 2] 1093->1099 1095 balance <= -0.158 gini = 0.5 samples = 4 value = [2, 2] 1094->1095 1098 gini = 0.0 samples = 9 value = [9, 0] 1094->1098 1096 gini = 0.0 samples = 2 value = [0, 2] 1095->1096 1097 gini = 0.0 samples = 2 value = [2, 0] 1095->1097 1100 gini = 0.0 samples = 2 value = [0, 2] 1099->1100 1101 gini = 0.0 samples = 1 value = [1, 0] 1099->1101 1104 campaign <= -0.408 gini = 0.491 samples = 90 value = [39, 51] 1103->1104 1155 gini = 0.0 samples = 9 value = [9, 0] 1103->1155 1105 education_unknown <= 0.5 gini = 0.422 samples = 43 value = [13, 30] 1104->1105 1128 week of the month_firstweek <= 0.5 gini = 0.494 samples = 47 value = [26, 21] 1104->1128 1106 balance <= 2.139 gini = 0.375 samples = 40 value = [10, 30] 1105->1106 1127 gini = 0.0 samples = 3 value = [3, 0] 1105->1127 1107 poutcome_unknown <= 0.5 gini = 0.332 samples = 38 value = [8, 30] 1106->1107 1126 gini = 0.0 samples = 2 value = [2, 0] 1106->1126 1108 duration <= -0.348 gini = 0.494 samples = 9 value = [4, 5] 1107->1108 1115 age <= 0.289 gini = 0.238 samples = 29 value = [4, 25] 1107->1115 1109 week of the month_firstweek <= 0.5 gini = 0.444 samples = 6 value = [4, 2] 1108->1109 1114 gini = 0.0 samples = 3 value = [0, 3] 1108->1114 1110 gini = 0.0 samples = 3 value = [3, 0] 1109->1110 1111 loan_no <= 0.5 gini = 0.444 samples = 3 value = [1, 2] 1109->1111 1112 gini = 0.0 samples = 1 value = [1, 0] 1111->1112 1113 gini = 0.0 samples = 2 value = [0, 2] 1111->1113 1116 gini = 0.0 samples = 16 value = [0, 16] 1115->1116 1117 duration <= -0.451 gini = 0.426 samples = 13 value = [4, 9] 1115->1117 1118 week of the month_firstweek <= 0.5 gini = 0.219 samples = 8 value = [1, 7] 1117->1118 1121 duration <= -0.371 gini = 0.48 samples = 5 value = [3, 2] 1117->1121 1119 gini = 0.0 samples = 7 value = [0, 7] 1118->1119 1120 gini = 0.0 samples = 1 value = [1, 0] 1118->1120 1122 gini = 0.0 samples = 2 value = [2, 0] 1121->1122 1123 education_tertiary <= 0.5 gini = 0.444 samples = 3 value = [1, 2] 1121->1123 1124 gini = 0.0 samples = 2 value = [0, 2] 1123->1124 1125 gini = 0.0 samples = 1 value = [1, 0] 1123->1125 1129 loan_no <= 0.5 gini = 0.437 samples = 31 value = [21, 10] 1128->1129 1148 marital_married <= 0.5 gini = 0.43 samples = 16 value = [5, 11] 1128->1148 1130 balance <= -0.335 gini = 0.375 samples = 4 value = [1, 3] 1129->1130 1133 age <= -1.548 gini = 0.384 samples = 27 value = [20, 7] 1129->1133 1131 gini = 0.0 samples = 3 value = [0, 3] 1130->1131 1132 gini = 0.0 samples = 1 value = [1, 0] 1130->1132 1134 balance <= -0.035 gini = 0.444 samples = 3 value = [1, 2] 1133->1134 1137 age <= 2.972 gini = 0.33 samples = 24 value = [19, 5] 1133->1137 1135 gini = 0.0 samples = 1 value = [1, 0] 1134->1135 1136 gini = 0.0 samples = 2 value = [0, 2] 1134->1136 1138 education_tertiary <= 0.5 gini = 0.245 samples = 21 value = [18, 3] 1137->1138 1145 age <= 3.773 gini = 0.444 samples = 3 value = [1, 2] 1137->1145 1139 gini = 0.0 samples = 10 value = [10, 0] 1138->1139 1140 duration <= -0.368 gini = 0.397 samples = 11 value = [8, 3] 1138->1140 1141 duration <= -0.581 gini = 0.198 samples = 9 value = [8, 1] 1140->1141 1144 gini = 0.0 samples = 2 value = [0, 2] 1140->1144 1142 gini = 0.0 samples = 1 value = [0, 1] 1141->1142 1143 gini = 0.0 samples = 8 value = [8, 0] 1141->1143 1146 gini = 0.0 samples = 2 value = [0, 2] 1145->1146 1147 gini = 0.0 samples = 1 value = [1, 0] 1145->1147 1149 gini = 0.0 samples = 7 value = [0, 7] 1148->1149 1150 age <= -0.088 gini = 0.494 samples = 9 value = [5, 4] 1148->1150 1151 gini = 0.0 samples = 4 value = [4, 0] 1150->1151 1152 job_unknown <= 0.5 gini = 0.32 samples = 5 value = [1, 4] 1150->1152 1153 gini = 0.0 samples = 4 value = [0, 4] 1152->1153 1154 gini = 0.0 samples = 1 value = [1, 0] 1152->1154 1157 month_apr <= 0.5 gini = 0.32 samples = 4213 value = [3372, 841] 1156->1157 2442 month_oct <= 0.5 gini = 0.105 samples = 5579 value = [5269, 310] 1156->2442 1158 poutcome_unknown <= 0.5 gini = 0.294 samples = 3991 value = [3275, 716] 1157->1158 2323 week of the month_forthweek <= 0.5 gini = 0.492 samples = 222 value = [97, 125] 1157->2323 1159 loan_no <= 0.5 gini = 0.471 samples = 525 value = [326, 199] 1158->1159 1422 age <= 1.842 gini = 0.254 samples = 3466 value = [2949, 517] 1158->1422 1160 job_retired <= 0.5 gini = 0.201 samples = 53 value = [47, 6] 1159->1160 1171 job_blue-collar <= 0.5 gini = 0.483 samples = 472 value = [279, 193] 1159->1171 1161 month_sep <= 0.5 gini = 0.117 samples = 48 value = [45, 3] 1160->1161 1168 month_nov <= 0.5 gini = 0.48 samples = 5 value = [2, 3] 1160->1168 1162 month_jul <= 0.5 gini = 0.081 samples = 47 value = [45, 2] 1161->1162 1167 gini = 0.0 samples = 1 value = [0, 1] 1161->1167 1163 gini = 0.0 samples = 43 value = [43, 0] 1162->1163 1164 job_management <= 0.5 gini = 0.5 samples = 4 value = [2, 2] 1162->1164 1165 gini = 0.0 samples = 2 value = [2, 0] 1164->1165 1166 gini = 0.0 samples = 2 value = [0, 2] 1164->1166 1169 gini = 0.0 samples = 3 value = [0, 3] 1168->1169 1170 gini = 0.0 samples = 2 value = [2, 0] 1168->1170 1172 balance <= -0.448 gini = 0.49 samples = 428 value = [244, 184] 1171->1172 1403 month_sep <= 0.5 gini = 0.325 samples = 44 value = [35, 9] 1171->1403 1173 gini = 0.0 samples = 9 value = [9, 0] 1172->1173 1174 balance <= 1.587 gini = 0.493 samples = 419 value = [235, 184] 1172->1174 1175 balance <= 0.103 gini = 0.496 samples = 380 value = [206, 174] 1174->1175 1382 month_jun <= 0.5 gini = 0.381 samples = 39 value = [29, 10] 1174->1382 1176 duration <= 0.013 gini = 0.483 samples = 248 value = [147, 101] 1175->1176 1309 age <= 1.466 gini = 0.494 samples = 132 value = [59, 73] 1175->1309 1177 balance <= -0.014 gini = 0.41 samples = 73 value = [52, 21] 1176->1177 1212 age <= -1.077 gini = 0.496 samples = 175 value = [95, 80] 1176->1212 1178 balance <= -0.116 gini = 0.444 samples = 63 value = [42, 21] 1177->1178 1211 gini = 0.0 samples = 10 value = [10, 0] 1177->1211 1179 month_mar <= 0.5 gini = 0.397 samples = 55 value = [40, 15] 1178->1179 1206 education_primary <= 0.5 gini = 0.375 samples = 8 value = [2, 6] 1178->1206 1180 month_oct <= 0.5 gini = 0.355 samples = 52 value = [40, 12] 1179->1180 1205 gini = 0.0 samples = 3 value = [0, 3] 1179->1205 1181 duration <= -0.156 gini = 0.31 samples = 47 value = [38, 9] 1180->1181 1200 poutcome_failure <= 0.5 gini = 0.48 samples = 5 value = [2, 3] 1180->1200 1182 job_management <= 0.5 gini = 0.5 samples = 8 value = [4, 4] 1181->1182 1189 age <= 2.549 gini = 0.224 samples = 39 value = [34, 5] 1181->1189 1183 balance <= -0.281 gini = 0.444 samples = 6 value = [4, 2] 1182->1183 1188 gini = 0.0 samples = 2 value = [0, 2] 1182->1188 1184 contact_telephone <= 0.5 gini = 0.444 samples = 3 value = [1, 2] 1183->1184 1187 gini = 0.0 samples = 3 value = [3, 0] 1183->1187 1185 gini = 0.0 samples = 2 value = [0, 2] 1184->1185 1186 gini = 0.0 samples = 1 value = [1, 0] 1184->1186 1190 week of the month_secondweek <= 0.5 gini = 0.188 samples = 38 value = [34, 4] 1189->1190 1199 gini = 0.0 samples = 1 value = [0, 1] 1189->1199 1191 gini = 0.0 samples = 26 value = [26, 0] 1190->1191 1192 job_student <= 0.5 gini = 0.444 samples = 12 value = [8, 4] 1190->1192 1193 job_services <= 0.5 gini = 0.32 samples = 10 value = [8, 2] 1192->1193 1198 gini = 0.0 samples = 2 value = [0, 2] 1192->1198 1194 month_sep <= 0.5 gini = 0.198 samples = 9 value = [8, 1] 1193->1194 1197 gini = 0.0 samples = 1 value = [0, 1] 1193->1197 1195 gini = 0.0 samples = 8 value = [8, 0] 1194->1195 1196 gini = 0.0 samples = 1 value = [0, 1] 1194->1196 1201 gini = 0.0 samples = 2 value = [0, 2] 1200->1201 1202 balance <= -0.288 gini = 0.444 samples = 3 value = [2, 1] 1200->1202 1203 gini = 0.0 samples = 2 value = [2, 0] 1202->1203 1204 gini = 0.0 samples = 1 value = [0, 1] 1202->1204 1207 month_oct <= 0.5 gini = 0.245 samples = 7 value = [1, 6] 1206->1207 1210 gini = 0.0 samples = 1 value = [1, 0] 1206->1210 1208 gini = 0.0 samples = 6 value = [0, 6] 1207->1208 1209 gini = 0.0 samples = 1 value = [1, 0] 1207->1209 1213 age <= -1.83 gini = 0.426 samples = 26 value = [8, 18] 1212->1213 1226 age <= -0.606 gini = 0.486 samples = 149 value = [87, 62] 1212->1226 1214 month_aug <= 0.5 gini = 0.278 samples = 6 value = [5, 1] 1213->1214 1217 job_technician <= 0.5 gini = 0.255 samples = 20 value = [3, 17] 1213->1217 1215 gini = 0.0 samples = 5 value = [5, 0] 1214->1215 1216 gini = 0.0 samples = 1 value = [0, 1] 1214->1216 1218 job_entrepreneur <= 0.5 gini = 0.188 samples = 19 value = [2, 17] 1217->1218 1225 gini = 0.0 samples = 1 value = [1, 0] 1217->1225 1219 balance <= -0.024 gini = 0.105 samples = 18 value = [1, 17] 1218->1219 1224 gini = 0.0 samples = 1 value = [1, 0] 1218->1224 1220 gini = 0.0 samples = 16 value = [0, 16] 1219->1220 1221 week of the month_secondweek <= 0.5 gini = 0.5 samples = 2 value = [1, 1] 1219->1221 1222 gini = 0.0 samples = 1 value = [0, 1] 1221->1222 1223 gini = 0.0 samples = 1 value = [1, 0] 1221->1223 1227 month_sep <= 0.5 gini = 0.334 samples = 33 value = [26, 7] 1226->1227 1244 education_unknown <= 0.5 gini = 0.499 samples = 116 value = [61, 55] 1226->1244 1228 month_jul <= 0.5 gini = 0.278 samples = 30 value = [25, 5] 1227->1228 1241 balance <= -0.197 gini = 0.444 samples = 3 value = [1, 2] 1227->1241 1229 month_oct <= 0.5 gini = 0.198 samples = 27 value = [24, 3] 1228->1229 1238 balance <= -0.129 gini = 0.444 samples = 3 value = [1, 2] 1228->1238 1230 balance <= 0.016 gini = 0.142 samples = 26 value = [24, 2] 1229->1230 1237 gini = 0.0 samples = 1 value = [0, 1] 1229->1237 1231 job_technician <= 0.5 gini = 0.077 samples = 25 value = [24, 1] 1230->1231 1236 gini = 0.0 samples = 1 value = [0, 1] 1230->1236 1232 gini = 0.0 samples = 20 value = [20, 0] 1231->1232 1233 duration <= 0.527 gini = 0.32 samples = 5 value = [4, 1] 1231->1233 1234 gini = 0.0 samples = 4 value = [4, 0] 1233->1234 1235 gini = 0.0 samples = 1 value = [0, 1] 1233->1235 1239 gini = 0.0 samples = 2 value = [0, 2] 1238->1239 1240 gini = 0.0 samples = 1 value = [1, 0] 1238->1240 1242 gini = 0.0 samples = 2 value = [0, 2] 1241->1242 1243 gini = 0.0 samples = 1 value = [1, 0] 1241->1243 1245 week of the month_thirdweek <= 0.5 gini = 0.495 samples = 109 value = [60, 49] 1244->1245 1306 balance <= -0.041 gini = 0.245 samples = 7 value = [1, 6] 1244->1306 1246 month_may <= 0.5 gini = 0.474 samples = 83 value = [51, 32] 1245->1246 1293 month_nov <= 0.5 gini = 0.453 samples = 26 value = [9, 17] 1245->1293 1247 duration <= 0.199 gini = 0.491 samples = 69 value = [39, 30] 1246->1247 1290 balance <= 0.057 gini = 0.245 samples = 14 value = [12, 2] 1246->1290 1248 balance <= -0.366 gini = 0.457 samples = 17 value = [6, 11] 1247->1248 1259 duration <= 0.331 gini = 0.464 samples = 52 value = [33, 19] 1247->1259 1249 gini = 0.0 samples = 6 value = [0, 6] 1248->1249 1250 job_admin. <= 0.5 gini = 0.496 samples = 11 value = [6, 5] 1248->1250 1251 campaign <= 0.238 gini = 0.444 samples = 9 value = [6, 3] 1250->1251 1258 gini = 0.0 samples = 2 value = [0, 2] 1250->1258 1252 job_retired <= 0.5 gini = 0.375 samples = 8 value = [6, 2] 1251->1252 1257 gini = 0.0 samples = 1 value = [0, 1] 1251->1257 1253 gini = 0.0 samples = 5 value = [5, 0] 1252->1253 1254 balance <= -0.118 gini = 0.444 samples = 3 value = [1, 2] 1252->1254 1255 gini = 0.0 samples = 2 value = [0, 2] 1254->1255 1256 gini = 0.0 samples = 1 value = [1, 0] 1254->1256 1260 age <= -0.229 gini = 0.208 samples = 17 value = [15, 2] 1259->1260 1267 duration <= 0.834 gini = 0.5 samples = 35 value = [18, 17] 1259->1267 1261 poutcome_other <= 0.5 gini = 0.408 samples = 7 value = [5, 2] 1260->1261 1266 gini = 0.0 samples = 10 value = [10, 0] 1260->1266 1262 balance <= -0.243 gini = 0.444 samples = 3 value = [1, 2] 1261->1262 1265 gini = 0.0 samples = 4 value = [4, 0] 1261->1265 1263 gini = 0.0 samples = 2 value = [0, 2] 1262->1263 1264 gini = 0.0 samples = 1 value = [1, 0] 1262->1264 1268 balance <= -0.126 gini = 0.48 samples = 25 value = [10, 15] 1267->1268 1285 campaign <= -0.408 gini = 0.32 samples = 10 value = [8, 2] 1267->1285 1269 balance <= -0.435 gini = 0.454 samples = 23 value = [8, 15] 1268->1269 1284 gini = 0.0 samples = 2 value = [2, 0] 1268->1284 1270 month_nov <= 0.5 gini = 0.469 samples = 8 value = [5, 3] 1269->1270 1275 month_mar <= 0.5 gini = 0.32 samples = 15 value = [3, 12] 1269->1275 1271 age <= -0.041 gini = 0.278 samples = 6 value = [5, 1] 1270->1271 1274 gini = 0.0 samples = 2 value = [0, 2] 1270->1274 1272 gini = 0.0 samples = 1 value = [0, 1] 1271->1272 1273 gini = 0.0 samples = 5 value = [5, 0] 1271->1273 1276 month_jan <= 0.5 gini = 0.245 samples = 14 value = [2, 12] 1275->1276 1283 gini = 0.0 samples = 1 value = [1, 0] 1275->1283 1277 age <= 2.078 gini = 0.142 samples = 13 value = [1, 12] 1276->1277 1282 gini = 0.0 samples = 1 value = [1, 0] 1276->1282 1278 gini = 0.0 samples = 10 value = [0, 10] 1277->1278 1279 week of the month_forthweek <= 0.5 gini = 0.444 samples = 3 value = [1, 2] 1277->1279 1280 gini = 0.0 samples = 1 value = [1, 0] 1279->1280 1281 gini = 0.0 samples = 2 value = [0, 2] 1279->1281 1286 poutcome_failure <= 0.5 gini = 0.444 samples = 3 value = [1, 2] 1285->1286 1289 gini = 0.0 samples = 7 value = [7, 0] 1285->1289 1287 gini = 0.0 samples = 1 value = [1, 0] 1286->1287 1288 gini = 0.0 samples = 2 value = [0, 2] 1286->1288 1291 gini = 0.0 samples = 12 value = [12, 0] 1290->1291 1292 gini = 0.0 samples = 2 value = [0, 2] 1290->1292 1294 balance <= 0.053 gini = 0.32 samples = 20 value = [4, 16] 1293->1294 1303 duration <= 0.188 gini = 0.278 samples = 6 value = [5, 1] 1293->1303 1295 duration <= 0.772 gini = 0.208 samples = 17 value = [2, 15] 1294->1295 1300 duration <= 0.353 gini = 0.444 samples = 3 value = [2, 1] 1294->1300 1296 contact_telephone <= 0.5 gini = 0.117 samples = 16 value = [1, 15] 1295->1296 1299 gini = 0.0 samples = 1 value = [1, 0] 1295->1299 1297 gini = 0.0 samples = 15 value = [0, 15] 1296->1297 1298 gini = 0.0 samples = 1 value = [1, 0] 1296->1298 1301 gini = 0.0 samples = 1 value = [0, 1] 1300->1301 1302 gini = 0.0 samples = 2 value = [2, 0] 1300->1302 1304 gini = 0.0 samples = 1 value = [0, 1] 1303->1304 1305 gini = 0.0 samples = 5 value = [5, 0] 1303->1305 1307 gini = 0.0 samples = 6 value = [0, 6] 1306->1307 1308 gini = 0.0 samples = 1 value = [1, 0] 1306->1308 1310 duration <= 0.586 gini = 0.471 samples = 92 value = [35, 57] 1309->1310 1363 campaign <= 0.238 gini = 0.48 samples = 40 value = [24, 16] 1309->1363 1311 week of the month_firstweek <= 0.5 gini = 0.493 samples = 75 value = [33, 42] 1310->1311 1356 week of the month_firstweek <= 0.5 gini = 0.208 samples = 17 value = [2, 15] 1310->1356 1312 balance <= 0.779 gini = 0.499 samples = 55 value = [29, 26] 1311->1312 1345 month_jul <= 0.5 gini = 0.32 samples = 20 value = [4, 16] 1311->1345 1313 duration <= 0.135 gini = 0.495 samples = 42 value = [19, 23] 1312->1313 1336 month_oct <= 0.5 gini = 0.355 samples = 13 value = [10, 3] 1312->1336 1314 age <= -0.794 gini = 0.408 samples = 21 value = [6, 15] 1313->1314 1323 balance <= 0.58 gini = 0.472 samples = 21 value = [13, 8] 1313->1323 1315 duration <= -0.17 gini = 0.18 samples = 10 value = [1, 9] 1314->1315 1318 age <= -0.606 gini = 0.496 samples = 11 value = [5, 6] 1314->1318 1316 gini = 0.0 samples = 1 value = [1, 0] 1315->1316 1317 gini = 0.0 samples = 9 value = [0, 9] 1315->1317 1319 gini = 0.0 samples = 4 value = [4, 0] 1318->1319 1320 month_may <= 0.5 gini = 0.245 samples = 7 value = [1, 6] 1318->1320 1321 gini = 0.0 samples = 6 value = [0, 6] 1320->1321 1322 gini = 0.0 samples = 1 value = [1, 0] 1320->1322 1324 job_unemployed <= 0.5 gini = 0.337 samples = 14 value = [11, 3] 1323->1324 1331 marital_single <= 0.5 gini = 0.408 samples = 7 value = [2, 5] 1323->1331 1325 marital_divorced <= 0.5 gini = 0.26 samples = 13 value = [11, 2] 1324->1325 1330 gini = 0.0 samples = 1 value = [0, 1] 1324->1330 1326 month_sep <= 0.5 gini = 0.153 samples = 12 value = [11, 1] 1325->1326 1329 gini = 0.0 samples = 1 value = [0, 1] 1325->1329 1327 gini = 0.0 samples = 11 value = [11, 0] 1326->1327 1328 gini = 0.0 samples = 1 value = [0, 1] 1326->1328 1332 gini = 0.0 samples = 4 value = [0, 4] 1331->1332 1333 education_tertiary <= 0.5 gini = 0.444 samples = 3 value = [2, 1] 1331->1333 1334 gini = 0.0 samples = 1 value = [0, 1] 1333->1334 1335 gini = 0.0 samples = 2 value = [2, 0] 1333->1335 1337 month_jul <= 0.5 gini = 0.278 samples = 12 value = [10, 2] 1336->1337 1344 gini = 0.0 samples = 1 value = [0, 1] 1336->1344 1338 month_sep <= 0.5 gini = 0.165 samples = 11 value = [10, 1] 1337->1338 1343 gini = 0.0 samples = 1 value = [0, 1] 1337->1343 1339 gini = 0.0 samples = 9 value = [9, 0] 1338->1339 1340 balance <= 1.112 gini = 0.5 samples = 2 value = [1, 1] 1338->1340 1341 gini = 0.0 samples = 1 value = [1, 0] 1340->1341 1342 gini = 0.0 samples = 1 value = [0, 1] 1340->1342 1346 campaign <= -0.085 gini = 0.266 samples = 19 value = [3, 16] 1345->1346 1355 gini = 0.0 samples = 1 value = [1, 0] 1345->1355 1347 duration <= 0.17 gini = 0.198 samples = 18 value = [2, 16] 1346->1347 1354 gini = 0.0 samples = 1 value = [1, 0] 1346->1354 1348 gini = 0.0 samples = 12 value = [0, 12] 1347->1348 1349 age <= 0.194 gini = 0.444 samples = 6 value = [2, 4] 1347->1349 1350 balance <= 0.423 gini = 0.444 samples = 3 value = [2, 1] 1349->1350 1353 gini = 0.0 samples = 3 value = [0, 3] 1349->1353 1351 gini = 0.0 samples = 2 value = [2, 0] 1350->1351 1352 gini = 0.0 samples = 1 value = [0, 1] 1350->1352 1357 gini = 0.0 samples = 13 value = [0, 13] 1356->1357 1358 month_may <= 0.5 gini = 0.5 samples = 4 value = [2, 2] 1356->1358 1359 job_technician <= 0.5 gini = 0.444 samples = 3 value = [2, 1] 1358->1359 1362 gini = 0.0 samples = 1 value = [0, 1] 1358->1362 1360 gini = 0.0 samples = 2 value = [2, 0] 1359->1360 1361 gini = 0.0 samples = 1 value = [0, 1] 1359->1361 1364 education_unknown <= 0.5 gini = 0.444 samples = 36 value = [24, 12] 1363->1364 1381 gini = 0.0 samples = 4 value = [0, 4] 1363->1381 1365 duration <= -0.115 gini = 0.397 samples = 33 value = [24, 9] 1364->1365 1380 gini = 0.0 samples = 3 value = [0, 3] 1364->1380 1366 gini = 0.0 samples = 2 value = [0, 2] 1365->1366 1367 balance <= 0.395 gini = 0.35 samples = 31 value = [24, 7] 1365->1367 1368 gini = 0.0 samples = 9 value = [9, 0] 1367->1368 1369 balance <= 0.762 gini = 0.434 samples = 22 value = [15, 7] 1367->1369 1370 poutcome_failure <= 0.5 gini = 0.498 samples = 15 value = [8, 7] 1369->1370 1379 gini = 0.0 samples = 7 value = [7, 0] 1369->1379 1371 gini = 0.0 samples = 3 value = [0, 3] 1370->1371 1372 duration <= 0.362 gini = 0.444 samples = 12 value = [8, 4] 1370->1372 1373 duration <= 0.042 gini = 0.49 samples = 7 value = [3, 4] 1372->1373 1378 gini = 0.0 samples = 5 value = [5, 0] 1372->1378 1374 gini = 0.0 samples = 2 value = [2, 0] 1373->1374 1375 month_jan <= 0.5 gini = 0.32 samples = 5 value = [1, 4] 1373->1375 1376 gini = 0.0 samples = 4 value = [0, 4] 1375->1376 1377 gini = 0.0 samples = 1 value = [1, 0] 1375->1377 1383 education_primary <= 0.5 gini = 0.339 samples = 37 value = [29, 8] 1382->1383 1402 gini = 0.0 samples = 2 value = [0, 2] 1382->1402 1384 month_dec <= 0.5 gini = 0.291 samples = 34 value = [28, 6] 1383->1384 1399 month_nov <= 0.5 gini = 0.444 samples = 3 value = [1, 2] 1383->1399 1385 duration <= 0.341 gini = 0.257 samples = 33 value = [28, 5] 1384->1385 1398 gini = 0.0 samples = 1 value = [0, 1] 1384->1398 1386 duration <= 0.279 gini = 0.375 samples = 20 value = [15, 5] 1385->1386 1397 gini = 0.0 samples = 13 value = [13, 0] 1385->1397 1387 poutcome_other <= 0.5 gini = 0.332 samples = 19 value = [15, 4] 1386->1387 1396 gini = 0.0 samples = 1 value = [0, 1] 1386->1396 1388 job_management <= 0.5 gini = 0.231 samples = 15 value = [13, 2] 1387->1388 1393 job_management <= 0.5 gini = 0.5 samples = 4 value = [2, 2] 1387->1393 1389 gini = 0.0 samples = 10 value = [10, 0] 1388->1389 1390 balance <= 3.008 gini = 0.48 samples = 5 value = [3, 2] 1388->1390 1391 gini = 0.0 samples = 2 value = [0, 2] 1390->1391 1392 gini = 0.0 samples = 3 value = [3, 0] 1390->1392 1394 gini = 0.0 samples = 2 value = [0, 2] 1393->1394 1395 gini = 0.0 samples = 2 value = [2, 0] 1393->1395 1400 gini = 0.0 samples = 2 value = [0, 2] 1399->1400 1401 gini = 0.0 samples = 1 value = [1, 0] 1399->1401 1404 education_unknown <= 0.5 gini = 0.224 samples = 39 value = [34, 5] 1403->1404 1419 duration <= 0.176 gini = 0.32 samples = 5 value = [1, 4] 1403->1419 1405 duration <= -0.179 gini = 0.188 samples = 38 value = [34, 4] 1404->1405 1418 gini = 0.0 samples = 1 value = [0, 1] 1404->1418 1406 gini = 0.0 samples = 1 value = [0, 1] 1405->1406 1407 balance <= -0.394 gini = 0.149 samples = 37 value = [34, 3] 1405->1407 1408 balance <= -0.415 gini = 0.375 samples = 8 value = [6, 2] 1407->1408 1413 age <= 0.901 gini = 0.067 samples = 29 value = [28, 1] 1407->1413 1409 week of the month_forthweek <= 0.5 gini = 0.245 samples = 7 value = [6, 1] 1408->1409 1412 gini = 0.0 samples = 1 value = [0, 1] 1408->1412 1410 gini = 0.0 samples = 6 value = [6, 0] 1409->1410 1411 gini = 0.0 samples = 1 value = [0, 1] 1409->1411 1414 gini = 0.0 samples = 25 value = [25, 0] 1413->1414 1415 poutcome_failure <= 0.5 gini = 0.375 samples = 4 value = [3, 1] 1413->1415 1416 gini = 0.0 samples = 1 value = [0, 1] 1415->1416 1417 gini = 0.0 samples = 3 value = [3, 0] 1415->1417 1420 gini = 0.0 samples = 4 value = [0, 4] 1419->1420 1421 gini = 0.0 samples = 1 value = [1, 0] 1419->1421 1423 month_mar <= 0.5 gini = 0.227 samples = 3299 value = [2869, 430] 1422->1423 2226 duration <= 0.428 gini = 0.499 samples = 167 value = [80, 87] 1422->2226 1424 month_oct <= 0.5 gini = 0.213 samples = 3253 value = [2859, 394] 1423->1424 2211 age <= 0.241 gini = 0.34 samples = 46 value = [10, 36] 1423->2211 1425 month_sep <= 0.5 gini = 0.2 samples = 3190 value = [2830, 360] 1424->1425 2174 duration <= 0.164 gini = 0.497 samples = 63 value = [29, 34] 1424->2174 1426 contact_unknown <= 0.5 gini = 0.19 samples = 3146 value = [2811, 335] 1425->1426 2145 education_tertiary <= 0.5 gini = 0.491 samples = 44 value = [19, 25] 1425->2145 1427 month_jun <= 0.5 gini = 0.229 samples = 2450 value = [2127, 323] 1426->1427 2098 month_feb <= 0.5 gini = 0.034 samples = 696 value = [684, 12] 1426->2098 1428 month_dec <= 0.5 gini = 0.199 samples = 2343 value = [2081, 262] 1427->1428 2031 balance <= -0.428 gini = 0.49 samples = 107 value = [46, 61] 1427->2031 1429 age <= -1.454 gini = 0.191 samples = 2321 value = [2073, 248] 1428->1429 2020 duration <= 0.178 gini = 0.463 samples = 22 value = [8, 14] 1428->2020 1430 balance <= -0.354 gini = 0.456 samples = 74 value = [48, 26] 1429->1430 1471 duration <= 0.413 gini = 0.178 samples = 2247 value = [2025, 222] 1429->1471 1431 month_feb <= 0.5 gini = 0.18 samples = 30 value = [27, 3] 1430->1431 1440 marital_single <= 0.5 gini = 0.499 samples = 44 value = [21, 23] 1430->1440 1432 month_nov <= 0.5 gini = 0.128 samples = 29 value = [27, 2] 1431->1432 1439 gini = 0.0 samples = 1 value = [0, 1] 1431->1439 1433 duration <= 0.76 gini = 0.069 samples = 28 value = [27, 1] 1432->1433 1438 gini = 0.0 samples = 1 value = [0, 1] 1432->1438 1434 gini = 0.0 samples = 24 value = [24, 0] 1433->1434 1435 duration <= 0.795 gini = 0.375 samples = 4 value = [3, 1] 1433->1435 1436 gini = 0.0 samples = 1 value = [0, 1] 1435->1436 1437 gini = 0.0 samples = 3 value = [3, 0] 1435->1437 1441 job_admin. <= 0.5 gini = 0.245 samples = 7 value = [6, 1] 1440->1441 1444 duration <= 0.685 gini = 0.482 samples = 37 value = [15, 22] 1440->1444 1442 gini = 0.0 samples = 6 value = [6, 0] 1441->1442 1443 gini = 0.0 samples = 1 value = [0, 1] 1441->1443 1445 job_services <= 0.5 gini = 0.444 samples = 30 value = [10, 20] 1444->1445 1466 duration <= 0.871 gini = 0.408 samples = 7 value = [5, 2] 1444->1466 1446 month_may <= 0.5 gini = 0.393 samples = 26 value = [7, 19] 1445->1446 1463 age <= -1.595 gini = 0.375 samples = 4 value = [3, 1] 1445->1463 1447 duration <= -0.191 gini = 0.266 samples = 19 value = [3, 16] 1446->1447 1458 duration <= 0.368 gini = 0.49 samples = 7 value = [4, 3] 1446->1458 1448 gini = 0.0 samples = 1 value = [1, 0] 1447->1448 1449 duration <= 0.102 gini = 0.198 samples = 18 value = [2, 16] 1447->1449 1450 gini = 0.0 samples = 11 value = [0, 11] 1449->1450 1451 duration <= 0.203 gini = 0.408 samples = 7 value = [2, 5] 1449->1451 1452 gini = 0.0 samples = 1 value = [1, 0] 1451->1452 1453 education_unknown <= 0.5 gini = 0.278 samples = 6 value = [1, 5] 1451->1453 1454 gini = 0.0 samples = 4 value = [0, 4] 1453->1454 1455 month_aug <= 0.5 gini = 0.5 samples = 2 value = [1, 1] 1453->1455 1456 gini = 0.0 samples = 1 value = [1, 0] 1455->1456 1457 gini = 0.0 samples = 1 value = [0, 1] 1455->1457 1459 balance <= -0.326 gini = 0.32 samples = 5 value = [4, 1] 1458->1459 1462 gini = 0.0 samples = 2 value = [0, 2] 1458->1462 1460 gini = 0.0 samples = 1 value = [0, 1] 1459->1460 1461 gini = 0.0 samples = 4 value = [4, 0] 1459->1461 1464 gini = 0.0 samples = 1 value = [0, 1] 1463->1464 1465 gini = 0.0 samples = 3 value = [3, 0] 1463->1465 1467 gini = 0.0 samples = 4 value = [4, 0] 1466->1467 1468 age <= -1.783 gini = 0.444 samples = 3 value = [1, 2] 1466->1468 1469 gini = 0.0 samples = 1 value = [1, 0] 1468->1469 1470 gini = 0.0 samples = 2 value = [0, 2] 1468->1470 1472 month_may <= 0.5 gini = 0.133 samples = 1600 value = [1485, 115] 1471->1472 1789 balance <= 0.158 gini = 0.276 samples = 647 value = [540, 107] 1471->1789 1473 campaign <= -0.408 gini = 0.119 samples = 1520 value = [1423, 97] 1472->1473 1748 week of the month_secondweek <= 0.5 gini = 0.349 samples = 80 value = [62, 18] 1472->1748 1474 education_unknown <= 0.5 gini = 0.194 samples = 468 value = [417, 51] 1473->1474 1605 month_feb <= 0.5 gini = 0.084 samples = 1052 value = [1006, 46] 1473->1605 1475 loan_no <= 0.5 gini = 0.176 samples = 451 value = [407, 44] 1474->1475 1592 loan_no <= 0.5 gini = 0.484 samples = 17 value = [10, 7] 1474->1592 1476 marital_divorced <= 0.5 gini = 0.02 samples = 98 value = [97, 1] 1475->1476 1483 balance <= 5.906 gini = 0.214 samples = 353 value = [310, 43] 1475->1483 1477 gini = 0.0 samples = 84 value = [84, 0] 1476->1477 1478 age <= -0.889 gini = 0.133 samples = 14 value = [13, 1] 1476->1478 1479 duration <= 0.087 gini = 0.5 samples = 2 value = [1, 1] 1478->1479 1482 gini = 0.0 samples = 12 value = [12, 0] 1478->1482 1480 gini = 0.0 samples = 1 value = [0, 1] 1479->1480 1481 gini = 0.0 samples = 1 value = [1, 0] 1479->1481 1484 week of the month_forthweek <= 0.5 gini = 0.21 samples = 352 value = [310, 42] 1483->1484 1591 gini = 0.0 samples = 1 value = [0, 1] 1483->1591 1485 balance <= -0.433 gini = 0.25 samples = 273 value = [233, 40] 1484->1485 1584 month_nov <= 0.5 gini = 0.049 samples = 79 value = [77, 2] 1484->1584 1486 marital_divorced <= 0.5 gini = 0.098 samples = 58 value = [55, 3] 1485->1486 1491 balance <= -0.425 gini = 0.285 samples = 215 value = [178, 37] 1485->1491 1487 gini = 0.0 samples = 45 value = [45, 0] 1486->1487 1488 month_aug <= 0.5 gini = 0.355 samples = 13 value = [10, 3] 1486->1488 1489 gini = 0.0 samples = 10 value = [10, 0] 1488->1489 1490 gini = 0.0 samples = 3 value = [0, 3] 1488->1490 1492 week of the month_secondweek <= 0.5 gini = 0.444 samples = 3 value = [1, 2] 1491->1492 1495 education_primary <= 0.5 gini = 0.276 samples = 212 value = [177, 35] 1491->1495 1493 gini = 0.0 samples = 1 value = [1, 0] 1492->1493 1494 gini = 0.0 samples = 2 value = [0, 2] 1492->1494 1496 duration <= -0.158 gini = 0.303 samples = 183 value = [149, 34] 1495->1496 1579 job_management <= 0.5 gini = 0.067 samples = 29 value = [28, 1] 1495->1579 1497 gini = 0.0 samples = 14 value = [14, 0] 1496->1497 1498 duration <= -0.154 gini = 0.321 samples = 169 value = [135, 34] 1496->1498 1499 gini = 0.0 samples = 1 value = [0, 1] 1498->1499 1500 week of the month_firstweek <= 0.5 gini = 0.316 samples = 168 value = [135, 33] 1498->1500 1501 month_feb <= 0.5 gini = 0.242 samples = 85 value = [73, 12] 1500->1501 1536 month_jul <= 0.5 gini = 0.378 samples = 83 value = [62, 21] 1500->1536 1502 job_admin. <= 0.5 gini = 0.18 samples = 80 value = [72, 8] 1501->1502 1533 job_services <= 0.5 gini = 0.32 samples = 5 value = [1, 4] 1501->1533 1503 duration <= -0.146 gini = 0.147 samples = 75 value = [69, 6] 1502->1503 1530 duration <= -0.088 gini = 0.48 samples = 5 value = [3, 2] 1502->1530 1504 balance <= -0.19 gini = 0.5 samples = 2 value = [1, 1] 1503->1504 1507 age <= -1.077 gini = 0.128 samples = 73 value = [68, 5] 1503->1507 1505 gini = 0.0 samples = 1 value = [1, 0] 1504->1505 1506 gini = 0.0 samples = 1 value = [0, 1] 1504->1506 1508 month_nov <= 0.5 gini = 0.375 samples = 8 value = [6, 2] 1507->1508 1513 marital_divorced <= 0.5 gini = 0.088 samples = 65 value = [62, 3] 1507->1513 1509 job_technician <= 0.5 gini = 0.245 samples = 7 value = [6, 1] 1508->1509 1512 gini = 0.0 samples = 1 value = [0, 1] 1508->1512 1510 gini = 0.0 samples = 6 value = [6, 0] 1509->1510 1511 gini = 0.0 samples = 1 value = [0, 1] 1509->1511 1514 age <= -0.324 gini = 0.064 samples = 60 value = [58, 2] 1513->1514 1525 duration <= 0.211 gini = 0.32 samples = 5 value = [4, 1] 1513->1525 1515 age <= -0.418 gini = 0.133 samples = 28 value = [26, 2] 1514->1515 1524 gini = 0.0 samples = 32 value = [32, 0] 1514->1524 1516 duration <= 0.267 gini = 0.074 samples = 26 value = [25, 1] 1515->1516 1521 education_secondary <= 0.5 gini = 0.5 samples = 2 value = [1, 1] 1515->1521 1517 gini = 0.0 samples = 19 value = [19, 0] 1516->1517 1518 duration <= 0.327 gini = 0.245 samples = 7 value = [6, 1] 1516->1518 1519 gini = 0.0 samples = 1 value = [0, 1] 1518->1519 1520 gini = 0.0 samples = 6 value = [6, 0] 1518->1520 1522 gini = 0.0 samples = 1 value = [0, 1] 1521->1522 1523 gini = 0.0 samples = 1 value = [1, 0] 1521->1523 1526 gini = 0.0 samples = 3 value = [3, 0] 1525->1526 1527 job_services <= 0.5 gini = 0.5 samples = 2 value = [1, 1] 1525->1527 1528 gini = 0.0 samples = 1 value = [0, 1] 1527->1528 1529 gini = 0.0 samples = 1 value = [1, 0] 1527->1529 1531 gini = 0.0 samples = 2 value = [0, 2] 1530->1531 1532 gini = 0.0 samples = 3 value = [3, 0] 1530->1532 1534 gini = 0.0 samples = 4 value = [0, 4] 1533->1534 1535 gini = 0.0 samples = 1 value = [1, 0] 1533->1535 1537 month_nov <= 0.5 gini = 0.32 samples = 75 value = [60, 15] 1536->1537 1574 job_admin. <= 0.5 gini = 0.375 samples = 8 value = [2, 6] 1536->1574 1538 balance <= -0.391 gini = 0.278 samples = 72 value = [60, 12] 1537->1538 1573 gini = 0.0 samples = 3 value = [0, 3] 1537->1573 1539 balance <= -0.398 gini = 0.494 samples = 9 value = [5, 4] 1538->1539 1546 balance <= 1.702 gini = 0.222 samples = 63 value = [55, 8] 1538->1546 1540 job_admin. <= 0.5 gini = 0.278 samples = 6 value = [5, 1] 1539->1540 1545 gini = 0.0 samples = 3 value = [0, 3] 1539->1545 1541 gini = 0.0 samples = 4 value = [4, 0] 1540->1541 1542 marital_single <= 0.5 gini = 0.5 samples = 2 value = [1, 1] 1540->1542 1543 gini = 0.0 samples = 1 value = [0, 1] 1542->1543 1544 gini = 0.0 samples = 1 value = [1, 0] 1542->1544 1547 job_retired <= 0.5 gini = 0.183 samples = 59 value = [53, 6] 1546->1547 1570 marital_married <= 0.5 gini = 0.5 samples = 4 value = [2, 2] 1546->1570 1548 education_tertiary <= 0.5 gini = 0.16 samples = 57 value = [52, 5] 1547->1548 1567 month_aug <= 0.5 gini = 0.5 samples = 2 value = [1, 1] 1547->1567 1549 job_services <= 0.5 gini = 0.054 samples = 36 value = [35, 1] 1548->1549 1554 balance <= -0.325 gini = 0.308 samples = 21 value = [17, 4] 1548->1554 1550 gini = 0.0 samples = 30 value = [30, 0] 1549->1550 1551 month_feb <= 0.5 gini = 0.278 samples = 6 value = [5, 1] 1549->1551 1552 gini = 0.0 samples = 1 value = [0, 1] 1551->1552 1553 gini = 0.0 samples = 5 value = [5, 0] 1551->1553 1555 gini = 0.0 samples = 5 value = [5, 0] 1554->1555 1556 balance <= -0.302 gini = 0.375 samples = 16 value = [12, 4] 1554->1556 1557 gini = 0.0 samples = 1 value = [0, 1] 1556->1557 1558 age <= -0.512 gini = 0.32 samples = 15 value = [12, 3] 1556->1558 1559 gini = 0.0 samples = 9 value = [9, 0] 1558->1559 1560 age <= 0.336 gini = 0.5 samples = 6 value = [3, 3] 1558->1560 1561 month_aug <= 0.5 gini = 0.48 samples = 5 value = [2, 3] 1560->1561 1566 gini = 0.0 samples = 1 value = [1, 0] 1560->1566 1562 gini = 0.0 samples = 2 value = [0, 2] 1561->1562 1563 age <= 0.1 gini = 0.444 samples = 3 value = [2, 1] 1561->1563 1564 gini = 0.0 samples = 2 value = [2, 0] 1563->1564 1565 gini = 0.0 samples = 1 value = [0, 1] 1563->1565 1568 gini = 0.0 samples = 1 value = [0, 1] 1567->1568 1569 gini = 0.0 samples = 1 value = [1, 0] 1567->1569 1571 gini = 0.0 samples = 2 value = [0, 2] 1570->1571 1572 gini = 0.0 samples = 2 value = [2, 0] 1570->1572 1575 age <= -1.124 gini = 0.245 samples = 7 value = [1, 6] 1574->1575 1578 gini = 0.0 samples = 1 value = [1, 0] 1574->1578 1576 gini = 0.0 samples = 1 value = [1, 0] 1575->1576 1577 gini = 0.0 samples = 6 value = [0, 6] 1575->1577 1580 gini = 0.0 samples = 27 value = [27, 0] 1579->1580 1581 month_jul <= 0.5 gini = 0.5 samples = 2 value = [1, 1] 1579->1581 1582 gini = 0.0 samples = 1 value = [0, 1] 1581->1582 1583 gini = 0.0 samples = 1 value = [1, 0] 1581->1583 1585 education_primary <= 0.5 gini = 0.025 samples = 78 value = [77, 1] 1584->1585 1590 gini = 0.0 samples = 1 value = [0, 1] 1584->1590 1586 gini = 0.0 samples = 67 value = [67, 0] 1585->1586 1587 duration <= -0.059 gini = 0.165 samples = 11 value = [10, 1] 1585->1587 1588 gini = 0.0 samples = 1 value = [0, 1] 1587->1588 1589 gini = 0.0 samples = 10 value = [10, 0] 1587->1589 1593 gini = 0.0 samples = 4 value = [4, 0] 1592->1593 1594 month_nov <= 0.5 gini = 0.497 samples = 13 value = [6, 7] 1592->1594 1595 age <= 0.618 gini = 0.463 samples = 11 value = [4, 7] 1594->1595 1604 gini = 0.0 samples = 2 value = [2, 0] 1594->1604 1596 age <= -0.794 gini = 0.5 samples = 8 value = [4, 4] 1595->1596 1603 gini = 0.0 samples = 3 value = [0, 3] 1595->1603 1597 gini = 0.0 samples = 2 value = [0, 2] 1596->1597 1598 age <= -0.041 gini = 0.444 samples = 6 value = [4, 2] 1596->1598 1599 gini = 0.0 samples = 3 value = [3, 0] 1598->1599 1600 marital_married <= 0.5 gini = 0.444 samples = 3 value = [1, 2] 1598->1600 1601 gini = 0.0 samples = 1 value = [1, 0] 1600->1601 1602 gini = 0.0 samples = 2 value = [0, 2] 1600->1602 1606 balance <= -0.301 gini = 0.065 samples = 949 value = [917, 32] 1605->1606 1727 week of the month_thirdweek <= 0.5 gini = 0.235 samples = 103 value = [89, 14] 1605->1727 1607 duration <= 0.405 gini = 0.025 samples = 547 value = [540, 7] 1606->1607 1644 balance <= -0.294 gini = 0.117 samples = 402 value = [377, 25] 1606->1644 1608 contact_cellular <= 0.5 gini = 0.022 samples = 542 value = [536, 6] 1607->1608 1641 age <= 0.524 gini = 0.32 samples = 5 value = [4, 1] 1607->1641 1609 age <= -1.36 gini = 0.122 samples = 46 value = [43, 3] 1608->1609 1622 month_jan <= 0.5 gini = 0.012 samples = 496 value = [493, 3] 1608->1622 1610 week of the month_forthweek <= 0.5 gini = 0.5 samples = 2 value = [1, 1] 1609->1610 1613 age <= 1.748 gini = 0.087 samples = 44 value = [42, 2] 1609->1613 1611 gini = 0.0 samples = 1 value = [0, 1] 1610->1611 1612 gini = 0.0 samples = 1 value = [1, 0] 1610->1612 1614 marital_single <= 0.5 gini = 0.048 samples = 41 value = [40, 1] 1613->1614 1619 duration <= 0.013 gini = 0.444 samples = 3 value = [2, 1] 1613->1619 1615 gini = 0.0 samples = 35 value = [35, 0] 1614->1615 1616 education_primary <= 0.5 gini = 0.278 samples = 6 value = [5, 1] 1614->1616 1617 gini = 0.0 samples = 5 value = [5, 0] 1616->1617 1618 gini = 0.0 samples = 1 value = [0, 1] 1616->1618 1620 gini = 0.0 samples = 1 value = [0, 1] 1619->1620 1621 gini = 0.0 samples = 2 value = [2, 0] 1619->1621 1623 age <= 0.995 gini = 0.009 samples = 465 value = [463, 2] 1622->1623 1636 week of the month_secondweek <= 0.5 gini = 0.062 samples = 31 value = [30, 1] 1622->1636 1624 gini = 0.0 samples = 355 value = [355, 0] 1623->1624 1625 job_technician <= 0.5 gini = 0.036 samples = 110 value = [108, 2] 1623->1625 1626 marital_divorced <= 0.5 gini = 0.02 samples = 98 value = [97, 1] 1625->1626 1633 duration <= -0.092 gini = 0.153 samples = 12 value = [11, 1] 1625->1633 1627 gini = 0.0 samples = 80 value = [80, 0] 1626->1627 1628 duration <= 0.186 gini = 0.105 samples = 18 value = [17, 1] 1626->1628 1629 gini = 0.0 samples = 15 value = [15, 0] 1628->1629 1630 duration <= 0.248 gini = 0.444 samples = 3 value = [2, 1] 1628->1630 1631 gini = 0.0 samples = 1 value = [0, 1] 1630->1631 1632 gini = 0.0 samples = 2 value = [2, 0] 1630->1632 1634 gini = 0.0 samples = 1 value = [0, 1] 1633->1634 1635 gini = 0.0 samples = 11 value = [11, 0] 1633->1635 1637 gini = 0.0 samples = 29 value = [29, 0] 1636->1637 1638 education_secondary <= 0.5 gini = 0.5 samples = 2 value = [1, 1] 1636->1638 1639 gini = 0.0 samples = 1 value = [0, 1] 1638->1639 1640 gini = 0.0 samples = 1 value = [1, 0] 1638->1640 1642 gini = 0.0 samples = 1 value = [0, 1] 1641->1642 1643 gini = 0.0 samples = 4 value = [4, 0] 1641->1643 1645 week of the month_firstweek <= 0.5 gini = 0.5 samples = 6 value = [3, 3] 1644->1645 1650 age <= -1.171 gini = 0.105 samples = 396 value = [374, 22] 1644->1650 1646 age <= -0.324 gini = 0.375 samples = 4 value = [3, 1] 1645->1646 1649 gini = 0.0 samples = 2 value = [0, 2] 1645->1649 1647 gini = 0.0 samples = 3 value = [3, 0] 1646->1647 1648 gini = 0.0 samples = 1 value = [0, 1] 1646->1648 1651 age <= -1.265 gini = 0.42 samples = 10 value = [7, 3] 1650->1651 1656 duration <= 0.397 gini = 0.094 samples = 386 value = [367, 19] 1650->1656 1652 gini = 0.0 samples = 6 value = [6, 0] 1651->1652 1653 balance <= -0.24 gini = 0.375 samples = 4 value = [1, 3] 1651->1653 1654 gini = 0.0 samples = 1 value = [1, 0] 1653->1654 1655 gini = 0.0 samples = 3 value = [0, 3] 1653->1655 1657 marital_divorced <= 0.5 gini = 0.086 samples = 378 value = [361, 17] 1656->1657 1722 age <= 0.053 gini = 0.375 samples = 8 value = [6, 2] 1656->1722 1658 job_student <= 0.5 gini = 0.072 samples = 348 value = [335, 13] 1657->1658 1711 age <= -0.842 gini = 0.231 samples = 30 value = [26, 4] 1657->1711 1659 balance <= 6.718 gini = 0.067 samples = 345 value = [333, 12] 1658->1659 1708 duration <= 0.081 gini = 0.444 samples = 3 value = [2, 1] 1658->1708 1660 month_jan <= 0.5 gini = 0.062 samples = 341 value = [330, 11] 1659->1660 1705 loan_yes <= 0.5 gini = 0.375 samples = 4 value = [3, 1] 1659->1705 1661 job_retired <= 0.5 gini = 0.054 samples = 325 value = [316, 9] 1660->1661 1698 week of the month_thirdweek <= 0.5 gini = 0.219 samples = 16 value = [14, 2] 1660->1698 1662 age <= 0.712 gini = 0.045 samples = 306 value = [299, 7] 1661->1662 1691 marital_single <= 0.5 gini = 0.188 samples = 19 value = [17, 2] 1661->1691 1663 age <= 0.43 gini = 0.065 samples = 208 value = [201, 7] 1662->1663 1690 gini = 0.0 samples = 98 value = [98, 0] 1662->1690 1664 campaign <= -0.085 gini = 0.035 samples = 166 value = [163, 3] 1663->1664 1679 education_unknown <= 0.5 gini = 0.172 samples = 42 value = [38, 4] 1663->1679 1665 gini = 0.0 samples = 73 value = [73, 0] 1664->1665 1666 education_primary <= 0.5 gini = 0.062 samples = 93 value = [90, 3] 1664->1666 1667 week of the month_thirdweek <= 0.5 gini = 0.046 samples = 85 value = [83, 2] 1666->1667 1676 job_management <= 0.5 gini = 0.219 samples = 8 value = [7, 1] 1666->1676 1668 gini = 0.0 samples = 57 value = [57, 0] 1667->1668 1669 month_aug <= 0.5 gini = 0.133 samples = 28 value = [26, 2] 1667->1669 1670 gini = 0.0 samples = 17 value = [17, 0] 1669->1670 1671 duration <= -0.111 gini = 0.298 samples = 11 value = [9, 2] 1669->1671 1672 gini = 0.0 samples = 5 value = [5, 0] 1671->1672 1673 duration <= -0.018 gini = 0.444 samples = 6 value = [4, 2] 1671->1673 1674 gini = 0.0 samples = 2 value = [0, 2] 1673->1674 1675 gini = 0.0 samples = 4 value = [4, 0] 1673->1675 1677 gini = 0.0 samples = 7 value = [7, 0] 1676->1677 1678 gini = 0.0 samples = 1 value = [0, 1] 1676->1678 1680 education_tertiary <= 0.5 gini = 0.136 samples = 41 value = [38, 3] 1679->1680 1689 gini = 0.0 samples = 1 value = [0, 1] 1679->1689 1681 gini = 0.0 samples = 31 value = [31, 0] 1680->1681 1682 duration <= 0.182 gini = 0.42 samples = 10 value = [7, 3] 1680->1682 1683 balance <= 0.256 gini = 0.5 samples = 6 value = [3, 3] 1682->1683 1688 gini = 0.0 samples = 4 value = [4, 0] 1682->1688 1684 duration <= 0.071 gini = 0.375 samples = 4 value = [3, 1] 1683->1684 1687 gini = 0.0 samples = 2 value = [0, 2] 1683->1687 1685 gini = 0.0 samples = 3 value = [3, 0] 1684->1685 1686 gini = 0.0 samples = 1 value = [0, 1] 1684->1686 1692 week of the month_firstweek <= 0.5 gini = 0.105 samples = 18 value = [17, 1] 1691->1692 1697 gini = 0.0 samples = 1 value = [0, 1] 1691->1697 1693 gini = 0.0 samples = 16 value = [16, 0] 1692->1693 1694 month_aug <= 0.5 gini = 0.5 samples = 2 value = [1, 1] 1692->1694 1695 gini = 0.0 samples = 1 value = [0, 1] 1694->1695 1696 gini = 0.0 samples = 1 value = [1, 0] 1694->1696 1699 job_blue-collar <= 0.5 gini = 0.124 samples = 15 value = [14, 1] 1698->1699 1704 gini = 0.0 samples = 1 value = [0, 1] 1698->1704 1700 gini = 0.0 samples = 12 value = [12, 0] 1699->1700 1701 duration <= 0.124 gini = 0.444 samples = 3 value = [2, 1] 1699->1701 1702 gini = 0.0 samples = 2 value = [2, 0] 1701->1702 1703 gini = 0.0 samples = 1 value = [0, 1] 1701->1703 1706 gini = 0.0 samples = 3 value = [3, 0] 1705->1706 1707 gini = 0.0 samples = 1 value = [0, 1] 1705->1707 1709 gini = 0.0 samples = 2 value = [2, 0] 1708->1709 1710 gini = 0.0 samples = 1 value = [0, 1] 1708->1710 1712 gini = 0.0 samples = 1 value = [0, 1] 1711->1712 1713 job_management <= 0.5 gini = 0.185 samples = 29 value = [26, 3] 1711->1713 1714 gini = 0.0 samples = 17 value = [17, 0] 1713->1714 1715 age <= 0.43 gini = 0.375 samples = 12 value = [9, 3] 1713->1715 1716 gini = 0.0 samples = 6 value = [6, 0] 1715->1716 1717 duration <= -0.1 gini = 0.5 samples = 6 value = [3, 3] 1715->1717 1718 gini = 0.0 samples = 2 value = [2, 0] 1717->1718 1719 month_aug <= 0.5 gini = 0.375 samples = 4 value = [1, 3] 1717->1719 1720 gini = 0.0 samples = 3 value = [0, 3] 1719->1720 1721 gini = 0.0 samples = 1 value = [1, 0] 1719->1721 1723 marital_single <= 0.5 gini = 0.444 samples = 3 value = [1, 2] 1722->1723 1726 gini = 0.0 samples = 5 value = [5, 0] 1722->1726 1724 gini = 0.0 samples = 2 value = [0, 2] 1723->1724 1725 gini = 0.0 samples = 1 value = [1, 0] 1723->1725 1728 education_tertiary <= 0.5 gini = 0.167 samples = 98 value = [89, 9] 1727->1728 1747 gini = 0.0 samples = 5 value = [0, 5] 1727->1747 1729 week of the month_forthweek <= 0.5 gini = 0.03 samples = 65 value = [64, 1] 1728->1729 1732 age <= 1.419 gini = 0.367 samples = 33 value = [25, 8] 1728->1732 1730 gini = 0.0 samples = 64 value = [64, 0] 1729->1730 1731 gini = 0.0 samples = 1 value = [0, 1] 1729->1731 1733 job_admin. <= 0.5 gini = 0.312 samples = 31 value = [25, 6] 1732->1733 1746 gini = 0.0 samples = 2 value = [0, 2] 1732->1746 1734 campaign <= 0.883 gini = 0.238 samples = 29 value = [25, 4] 1733->1734 1745 gini = 0.0 samples = 2 value = [0, 2] 1733->1745 1735 duration <= 0.143 gini = 0.147 samples = 25 value = [23, 2] 1734->1735 1740 job_technician <= 0.5 gini = 0.5 samples = 4 value = [2, 2] 1734->1740 1736 gini = 0.0 samples = 17 value = [17, 0] 1735->1736 1737 duration <= 0.194 gini = 0.375 samples = 8 value = [6, 2] 1735->1737 1738 gini = 0.0 samples = 2 value = [0, 2] 1737->1738 1739 gini = 0.0 samples = 6 value = [6, 0] 1737->1739 1741 age <= -0.7 gini = 0.444 samples = 3 value = [2, 1] 1740->1741 1744 gini = 0.0 samples = 1 value = [0, 1] 1740->1744 1742 gini = 0.0 samples = 2 value = [2, 0] 1741->1742 1743 gini = 0.0 samples = 1 value = [0, 1] 1741->1743 1749 campaign <= 0.56 gini = 0.416 samples = 61 value = [43, 18] 1748->1749 1788 gini = 0.0 samples = 19 value = [19, 0] 1748->1788 1750 job_management <= 0.5 gini = 0.37 samples = 53 value = [40, 13] 1749->1750 1783 duration <= -0.111 gini = 0.469 samples = 8 value = [3, 5] 1749->1783 1751 education_unknown <= 0.5 gini = 0.301 samples = 38 value = [31, 7] 1750->1751 1772 duration <= 0.382 gini = 0.48 samples = 15 value = [9, 6] 1750->1772 1752 duration <= -0.142 gini = 0.272 samples = 37 value = [31, 6] 1751->1752 1771 gini = 0.0 samples = 1 value = [0, 1] 1751->1771 1753 age <= -0.7 gini = 0.5 samples = 4 value = [2, 2] 1752->1753 1756 duration <= 0.126 gini = 0.213 samples = 33 value = [29, 4] 1752->1756 1754 gini = 0.0 samples = 2 value = [0, 2] 1753->1754 1755 gini = 0.0 samples = 2 value = [2, 0] 1753->1755 1757 duration <= 0.098 gini = 0.308 samples = 21 value = [17, 4] 1756->1757 1770 gini = 0.0 samples = 12 value = [12, 0] 1756->1770 1758 balance <= -0.291 gini = 0.255 samples = 20 value = [17, 3] 1757->1758 1769 gini = 0.0 samples = 1 value = [0, 1] 1757->1769 1759 balance <= -0.337 gini = 0.444 samples = 6 value = [4, 2] 1758->1759 1764 duration <= 0.054 gini = 0.133 samples = 14 value = [13, 1] 1758->1764 1760 duration <= -0.02 gini = 0.32 samples = 5 value = [4, 1] 1759->1760 1763 gini = 0.0 samples = 1 value = [0, 1] 1759->1763 1761 gini = 0.0 samples = 1 value = [0, 1] 1760->1761 1762 gini = 0.0 samples = 4 value = [4, 0] 1760->1762 1765 gini = 0.0 samples = 11 value = [11, 0] 1764->1765 1766 job_technician <= 0.5 gini = 0.444 samples = 3 value = [2, 1] 1764->1766 1767 gini = 0.0 samples = 2 value = [2, 0] 1766->1767 1768 gini = 0.0 samples = 1 value = [0, 1] 1766->1768 1773 duration <= 0.248 gini = 0.5 samples = 12 value = [6, 6] 1772->1773 1782 gini = 0.0 samples = 3 value = [3, 0] 1772->1782 1774 campaign <= 0.238 gini = 0.444 samples = 9 value = [6, 3] 1773->1774 1781 gini = 0.0 samples = 3 value = [0, 3] 1773->1781 1775 age <= 0.618 gini = 0.375 samples = 8 value = [6, 2] 1774->1775 1780 gini = 0.0 samples = 1 value = [0, 1] 1774->1780 1776 gini = 0.0 samples = 4 value = [4, 0] 1775->1776 1777 duration <= -0.065 gini = 0.5 samples = 4 value = [2, 2] 1775->1777 1778 gini = 0.0 samples = 2 value = [2, 0] 1777->1778 1779 gini = 0.0 samples = 2 value = [0, 2] 1777->1779 1784 gini = 0.0 samples = 2 value = [2, 0] 1783->1784 1785 duration <= 0.327 gini = 0.278 samples = 6 value = [1, 5] 1783->1785 1786 gini = 0.0 samples = 5 value = [0, 5] 1785->1786 1787 gini = 0.0 samples = 1 value = [1, 0] 1785->1787 1790 week of the month_thirdweek <= 0.5 gini = 0.235 samples = 530 value = [458, 72] 1789->1790 1955 duration <= 0.941 gini = 0.419 samples = 117 value = [82, 35] 1789->1955 1791 duration <= 0.809 gini = 0.261 samples = 421 value = [356, 65] 1790->1791 1928 balance <= -0.554 gini = 0.12 samples = 109 value = [102, 7] 1790->1928 1792 balance <= -0.212 gini = 0.228 samples = 320 value = [278, 42] 1791->1792 1893 job_management <= 0.5 gini = 0.352 samples = 101 value = [78, 23] 1791->1893 1793 age <= 1.748 gini = 0.177 samples = 245 value = [221, 24] 1792->1793 1864 balance <= -0.124 gini = 0.365 samples = 75 value = [57, 18] 1792->1864 1794 balance <= -0.322 gini = 0.167 samples = 239 value = [217, 22] 1793->1794 1859 education_secondary <= 0.5 gini = 0.444 samples = 6 value = [4, 2] 1793->1859 1795 balance <= -0.334 gini = 0.203 samples = 183 value = [162, 21] 1794->1795 1854 month_may <= 0.5 gini = 0.035 samples = 56 value = [55, 1] 1794->1854 1796 marital_divorced <= 0.5 gini = 0.168 samples = 173 value = [157, 16] 1795->1796 1847 age <= 0.241 gini = 0.5 samples = 10 value = [5, 5] 1795->1847 1797 job_unemployed <= 0.5 gini = 0.136 samples = 150 value = [139, 11] 1796->1797 1836 duration <= 0.559 gini = 0.34 samples = 23 value = [18, 5] 1796->1836 1798 age <= -0.889 gini = 0.12 samples = 141 value = [132, 9] 1797->1798 1829 month_may <= 0.5 gini = 0.346 samples = 9 value = [7, 2] 1797->1829 1799 gini = 0.0 samples = 33 value = [33, 0] 1798->1799 1800 age <= -0.606 gini = 0.153 samples = 108 value = [99, 9] 1798->1800 1801 duration <= 0.65 gini = 0.308 samples = 21 value = [17, 4] 1800->1801 1810 job_admin. <= 0.5 gini = 0.108 samples = 87 value = [82, 5] 1800->1810 1802 gini = 0.0 samples = 12 value = [12, 0] 1801->1802 1803 duration <= 0.681 gini = 0.494 samples = 9 value = [5, 4] 1801->1803 1804 gini = 0.0 samples = 2 value = [0, 2] 1803->1804 1805 month_jul <= 0.5 gini = 0.408 samples = 7 value = [5, 2] 1803->1805 1806 gini = 0.0 samples = 4 value = [4, 0] 1805->1806 1807 education_secondary <= 0.5 gini = 0.444 samples = 3 value = [1, 2] 1805->1807 1808 gini = 0.0 samples = 1 value = [1, 0] 1807->1808 1809 gini = 0.0 samples = 2 value = [0, 2] 1807->1809 1811 duration <= 0.774 gini = 0.071 samples = 81 value = [78, 3] 1810->1811 1826 duration <= 0.516 gini = 0.444 samples = 6 value = [4, 2] 1810->1826 1812 education_tertiary <= 0.5 gini = 0.052 samples = 75 value = [73, 2] 1811->1812 1823 job_technician <= 0.5 gini = 0.278 samples = 6 value = [5, 1] 1811->1823 1813 gini = 0.0 samples = 51 value = [51, 0] 1812->1813 1814 age <= 0.053 gini = 0.153 samples = 24 value = [22, 2] 1812->1814 1815 job_technician <= 0.5 gini = 0.346 samples = 9 value = [7, 2] 1814->1815 1822 gini = 0.0 samples = 15 value = [15, 0] 1814->1822 1816 duration <= 0.539 gini = 0.219 samples = 8 value = [7, 1] 1815->1816 1821 gini = 0.0 samples = 1 value = [0, 1] 1815->1821 1817 loan_yes <= 0.5 gini = 0.375 samples = 4 value = [3, 1] 1816->1817 1820 gini = 0.0 samples = 4 value = [4, 0] 1816->1820 1818 gini = 0.0 samples = 1 value = [0, 1] 1817->1818 1819 gini = 0.0 samples = 3 value = [3, 0] 1817->1819 1824 gini = 0.0 samples = 5 value = [5, 0] 1823->1824 1825 gini = 0.0 samples = 1 value = [0, 1] 1823->1825 1827 gini = 0.0 samples = 2 value = [0, 2] 1826->1827 1828 gini = 0.0 samples = 4 value = [4, 0] 1826->1828 1830 month_jan <= 0.5 gini = 0.219 samples = 8 value = [7, 1] 1829->1830 1835 gini = 0.0 samples = 1 value = [0, 1] 1829->1835 1831 gini = 0.0 samples = 6 value = [6, 0] 1830->1831 1832 balance <= -0.409 gini = 0.5 samples = 2 value = [1, 1] 1830->1832 1833 gini = 0.0 samples = 1 value = [0, 1] 1832->1833 1834 gini = 0.0 samples = 1 value = [1, 0] 1832->1834 1837 gini = 0.0 samples = 11 value = [11, 0] 1836->1837 1838 campaign <= -0.085 gini = 0.486 samples = 12 value = [7, 5] 1836->1838 1839 job_services <= 0.5 gini = 0.245 samples = 7 value = [6, 1] 1838->1839 1844 balance <= -0.377 gini = 0.32 samples = 5 value = [1, 4] 1838->1844 1840 gini = 0.0 samples = 5 value = [5, 0] 1839->1840 1841 week of the month_forthweek <= 0.5 gini = 0.5 samples = 2 value = [1, 1] 1839->1841 1842 gini = 0.0 samples = 1 value = [1, 0] 1841->1842 1843 gini = 0.0 samples = 1 value = [0, 1] 1841->1843 1845 gini = 0.0 samples = 4 value = [0, 4] 1844->1845 1846 gini = 0.0 samples = 1 value = [1, 0] 1844->1846 1848 job_management <= 0.5 gini = 0.408 samples = 7 value = [2, 5] 1847->1848 1853 gini = 0.0 samples = 3 value = [3, 0] 1847->1853 1849 gini = 0.0 samples = 4 value = [0, 4] 1848->1849 1850 education_secondary <= 0.5 gini = 0.444 samples = 3 value = [2, 1] 1848->1850 1851 gini = 0.0 samples = 2 value = [2, 0] 1850->1851 1852 gini = 0.0 samples = 1 value = [0, 1] 1850->1852 1855 gini = 0.0 samples = 54 value = [54, 0] 1854->1855 1856 marital_married <= 0.5 gini = 0.5 samples = 2 value = [1, 1] 1854->1856 1857 gini = 0.0 samples = 1 value = [1, 0] 1856->1857 1858 gini = 0.0 samples = 1 value = [0, 1] 1856->1858 1860 contact_telephone <= 0.5 gini = 0.444 samples = 3 value = [1, 2] 1859->1860 1863 gini = 0.0 samples = 3 value = [3, 0] 1859->1863 1861 gini = 0.0 samples = 2 value = [0, 2] 1860->1861 1862 gini = 0.0 samples = 1 value = [1, 0] 1860->1862 1865 balance <= -0.162 gini = 0.497 samples = 24 value = [13, 11] 1864->1865 1876 duration <= 0.428 gini = 0.237 samples = 51 value = [44, 7] 1864->1876 1866 balance <= -0.201 gini = 0.375 samples = 12 value = [9, 3] 1865->1866 1871 week of the month_forthweek <= 0.5 gini = 0.444 samples = 12 value = [4, 8] 1865->1871 1867 age <= 0.336 gini = 0.375 samples = 4 value = [1, 3] 1866->1867 1870 gini = 0.0 samples = 8 value = [8, 0] 1866->1870 1868 gini = 0.0 samples = 1 value = [1, 0] 1867->1868 1869 gini = 0.0 samples = 3 value = [0, 3] 1867->1869 1872 job_self-employed <= 0.5 gini = 0.198 samples = 9 value = [1, 8] 1871->1872 1875 gini = 0.0 samples = 3 value = [3, 0] 1871->1875 1873 gini = 0.0 samples = 8 value = [0, 8] 1872->1873 1874 gini = 0.0 samples = 1 value = [1, 0] 1872->1874 1877 gini = 0.0 samples = 2 value = [0, 2] 1876->1877 1878 age <= 0.995 gini = 0.183 samples = 49 value = [44, 5] 1876->1878 1879 balance <= 0.127 gini = 0.091 samples = 42 value = [40, 2] 1878->1879 1888 balance <= -0.093 gini = 0.49 samples = 7 value = [4, 3] 1878->1888 1880 job_technician <= 0.5 gini = 0.051 samples = 38 value = [37, 1] 1879->1880 1885 age <= -0.7 gini = 0.375 samples = 4 value = [3, 1] 1879->1885 1881 gini = 0.0 samples = 32 value = [32, 0] 1880->1881 1882 duration <= 0.526 gini = 0.278 samples = 6 value = [5, 1] 1880->1882 1883 gini = 0.0 samples = 5 value = [5, 0] 1882->1883 1884 gini = 0.0 samples = 1 value = [0, 1] 1882->1884 1886 gini = 0.0 samples = 1 value = [0, 1] 1885->1886 1887 gini = 0.0 samples = 3 value = [3, 0] 1885->1887 1889 gini = 0.0 samples = 2 value = [2, 0] 1888->1889 1890 balance <= 0.095 gini = 0.48 samples = 5 value = [2, 3] 1888->1890 1891 gini = 0.0 samples = 3 value = [0, 3] 1890->1891 1892 gini = 0.0 samples = 2 value = [2, 0] 1890->1892 1894 job_technician <= 0.5 gini = 0.269 samples = 75 value = [63, 12] 1893->1894 1915 age <= -0.7 gini = 0.488 samples = 26 value = [15, 11] 1893->1915 1895 balance <= -0.444 gini = 0.183 samples = 59 value = [53, 6] 1894->1895 1906 balance <= -0.423 gini = 0.469 samples = 16 value = [10, 6] 1894->1906 1896 duration <= 0.933 gini = 0.473 samples = 13 value = [8, 5] 1895->1896 1901 job_student <= 0.5 gini = 0.043 samples = 46 value = [45, 1] 1895->1901 1897 loan_no <= 0.5 gini = 0.278 samples = 6 value = [1, 5] 1896->1897 1900 gini = 0.0 samples = 7 value = [7, 0] 1896->1900 1898 gini = 0.0 samples = 1 value = [1, 0] 1897->1898 1899 gini = 0.0 samples = 5 value = [0, 5] 1897->1899 1902 gini = 0.0 samples = 42 value = [42, 0] 1901->1902 1903 month_jul <= 0.5 gini = 0.375 samples = 4 value = [3, 1] 1901->1903 1904 gini = 0.0 samples = 3 value = [3, 0] 1903->1904 1905 gini = 0.0 samples = 1 value = [0, 1] 1903->1905 1907 gini = 0.0 samples = 5 value = [5, 0] 1906->1907 1908 education_tertiary <= 0.5 gini = 0.496 samples = 11 value = [5, 6] 1906->1908 1909 balance <= -0.276 gini = 0.375 samples = 8 value = [2, 6] 1908->1909 1914 gini = 0.0 samples = 3 value = [3, 0] 1908->1914 1910 loan_yes <= 0.5 gini = 0.245 samples = 7 value = [1, 6] 1909->1910 1913 gini = 0.0 samples = 1 value = [1, 0] 1909->1913 1911 gini = 0.0 samples = 6 value = [0, 6] 1910->1911 1912 gini = 0.0 samples = 1 value = [1, 0] 1910->1912 1916 gini = 0.0 samples = 5 value = [0, 5] 1915->1916 1917 balance <= -0.34 gini = 0.408 samples = 21 value = [15, 6] 1915->1917 1918 age <= 0.053 gini = 0.48 samples = 5 value = [2, 3] 1917->1918 1921 month_nov <= 0.5 gini = 0.305 samples = 16 value = [13, 3] 1917->1921 1919 gini = 0.0 samples = 2 value = [2, 0] 1918->1919 1920 gini = 0.0 samples = 3 value = [0, 3] 1918->1920 1922 week of the month_firstweek <= 0.5 gini = 0.231 samples = 15 value = [13, 2] 1921->1922 1927 gini = 0.0 samples = 1 value = [0, 1] 1921->1927 1923 gini = 0.0 samples = 10 value = [10, 0] 1922->1923 1924 balance <= -0.077 gini = 0.48 samples = 5 value = [3, 2] 1922->1924 1925 gini = 0.0 samples = 3 value = [3, 0] 1924->1925 1926 gini = 0.0 samples = 2 value = [0, 2] 1924->1926 1929 job_management <= 0.5 gini = 0.5 samples = 2 value = [1, 1] 1928->1929 1932 duration <= 0.454 gini = 0.106 samples = 107 value = [101, 6] 1928->1932 1930 gini = 0.0 samples = 1 value = [0, 1] 1929->1930 1931 gini = 0.0 samples = 1 value = [1, 0] 1929->1931 1933 duration <= 0.44 gini = 0.298 samples = 11 value = [9, 2] 1932->1933 1938 campaign <= 0.883 gini = 0.08 samples = 96 value = [92, 4] 1932->1938 1934 gini = 0.0 samples = 8 value = [8, 0] 1933->1934 1935 job_blue-collar <= 0.5 gini = 0.444 samples = 3 value = [1, 2] 1933->1935 1936 gini = 0.0 samples = 2 value = [0, 2] 1935->1936 1937 gini = 0.0 samples = 1 value = [1, 0] 1935->1937 1939 job_unemployed <= 0.5 gini = 0.046 samples = 84 value = [82, 2] 1938->1939 1950 duration <= 0.823 gini = 0.278 samples = 12 value = [10, 2] 1938->1950 1940 job_admin. <= 0.5 gini = 0.025 samples = 80 value = [79, 1] 1939->1940 1947 balance <= -0.315 gini = 0.375 samples = 4 value = [3, 1] 1939->1947 1941 gini = 0.0 samples = 71 value = [71, 0] 1940->1941 1942 month_jul <= 0.5 gini = 0.198 samples = 9 value = [8, 1] 1940->1942 1943 gini = 0.0 samples = 6 value = [6, 0] 1942->1943 1944 loan_yes <= 0.5 gini = 0.444 samples = 3 value = [2, 1] 1942->1944 1945 gini = 0.0 samples = 1 value = [0, 1] 1944->1945 1946 gini = 0.0 samples = 2 value = [2, 0] 1944->1946 1948 gini = 0.0 samples = 1 value = [0, 1] 1947->1948 1949 gini = 0.0 samples = 3 value = [3, 0] 1947->1949 1951 gini = 0.0 samples = 9 value = [9, 0] 1950->1951 1952 age <= 1.513 gini = 0.444 samples = 3 value = [1, 2] 1950->1952 1953 gini = 0.0 samples = 2 value = [0, 2] 1952->1953 1954 gini = 0.0 samples = 1 value = [1, 0] 1952->1954 1956 month_may <= 0.5 gini = 0.389 samples = 106 value = [78, 28] 1955->1956 2013 week of the month_firstweek <= 0.5 gini = 0.463 samples = 11 value = [4, 7] 1955->2013 1957 balance <= 0.167 gini = 0.351 samples = 97 value = [75, 22] 1956->1957 2010 education_secondary <= 0.5 gini = 0.444 samples = 9 value = [3, 6] 1956->2010 1958 gini = 0.0 samples = 2 value = [0, 2] 1957->1958 1959 job_admin. <= 0.5 gini = 0.332 samples = 95 value = [75, 20] 1957->1959 1960 job_entrepreneur <= 0.5 gini = 0.306 samples = 90 value = [73, 17] 1959->1960 2005 balance <= 0.609 gini = 0.48 samples = 5 value = [2, 3] 1959->2005 1961 campaign <= 0.722 gini = 0.295 samples = 89 value = [73, 16] 1960->1961 2004 gini = 0.0 samples = 1 value = [0, 1] 1960->2004 1962 duration <= 0.696 gini = 0.26 samples = 78 value = [66, 12] 1961->1962 1993 month_aug <= 0.5 gini = 0.463 samples = 11 value = [7, 4] 1961->1993 1963 balance <= 0.217 gini = 0.172 samples = 42 value = [38, 4] 1962->1963 1974 duration <= 0.863 gini = 0.346 samples = 36 value = [28, 8] 1962->1974 1964 gini = 0.0 samples = 1 value = [0, 1] 1963->1964 1965 campaign <= -0.408 gini = 0.136 samples = 41 value = [38, 3] 1963->1965 1966 age <= 1.701 gini = 0.291 samples = 17 value = [14, 3] 1965->1966 1973 gini = 0.0 samples = 24 value = [24, 0] 1965->1973 1967 job_management <= 0.5 gini = 0.219 samples = 16 value = [14, 2] 1966->1967 1972 gini = 0.0 samples = 1 value = [0, 1] 1966->1972 1968 gini = 0.0 samples = 9 value = [9, 0] 1967->1968 1969 week of the month_thirdweek <= 0.5 gini = 0.408 samples = 7 value = [5, 2] 1967->1969 1970 gini = 0.0 samples = 2 value = [0, 2] 1969->1970 1971 gini = 0.0 samples = 5 value = [5, 0] 1969->1971 1975 job_management <= 0.5 gini = 0.426 samples = 26 value = [18, 8] 1974->1975 1992 gini = 0.0 samples = 10 value = [10, 0] 1974->1992 1976 age <= 0.618 gini = 0.497 samples = 13 value = [7, 6] 1975->1976 1987 month_jan <= 0.5 gini = 0.26 samples = 13 value = [11, 2] 1975->1987 1977 balance <= 0.637 gini = 0.278 samples = 6 value = [1, 5] 1976->1977 1982 education_primary <= 0.5 gini = 0.245 samples = 7 value = [6, 1] 1976->1982 1978 gini = 0.0 samples = 4 value = [0, 4] 1977->1978 1979 balance <= 0.71 gini = 0.5 samples = 2 value = [1, 1] 1977->1979 1980 gini = 0.0 samples = 1 value = [1, 0] 1979->1980 1981 gini = 0.0 samples = 1 value = [0, 1] 1979->1981 1983 gini = 0.0 samples = 5 value = [5, 0] 1982->1983 1984 duration <= 0.778 gini = 0.5 samples = 2 value = [1, 1] 1982->1984 1985 gini = 0.0 samples = 1 value = [0, 1] 1984->1985 1986 gini = 0.0 samples = 1 value = [1, 0] 1984->1986 1988 contact_cellular <= 0.5 gini = 0.153 samples = 12 value = [11, 1] 1987->1988 1991 gini = 0.0 samples = 1 value = [0, 1] 1987->1991 1989 gini = 0.0 samples = 1 value = [0, 1] 1988->1989 1990 gini = 0.0 samples = 11 value = [11, 0] 1988->1990 1994 gini = 0.0 samples = 3 value = [3, 0] 1993->1994 1995 job_blue-collar <= 0.5 gini = 0.5 samples = 8 value = [4, 4] 1993->1995 1996 duration <= 0.454 gini = 0.444 samples = 6 value = [2, 4] 1995->1996 2003 gini = 0.0 samples = 2 value = [2, 0] 1995->2003 1997 gini = 0.0 samples = 1 value = [1, 0] 1996->1997 1998 balance <= 0.564 gini = 0.32 samples = 5 value = [1, 4] 1996->1998 1999 gini = 0.0 samples = 3 value = [0, 3] 1998->1999 2000 marital_single <= 0.5 gini = 0.5 samples = 2 value = [1, 1] 1998->2000 2001 gini = 0.0 samples = 1 value = [1, 0] 2000->2001 2002 gini = 0.0 samples = 1 value = [0, 1] 2000->2002 2006 gini = 0.0 samples = 2 value = [0, 2] 2005->2006 2007 age <= -0.277 gini = 0.444 samples = 3 value = [2, 1] 2005->2007 2008 gini = 0.0 samples = 1 value = [0, 1] 2007->2008 2009 gini = 0.0 samples = 2 value = [2, 0] 2007->2009 2011 gini = 0.0 samples = 6 value = [0, 6] 2010->2011 2012 gini = 0.0 samples = 3 value = [3, 0] 2010->2012 2014 loan_yes <= 0.5 gini = 0.346 samples = 9 value = [2, 7] 2013->2014 2019 gini = 0.0 samples = 2 value = [2, 0] 2013->2019 2015 age <= -0.842 gini = 0.219 samples = 8 value = [1, 7] 2014->2015 2018 gini = 0.0 samples = 1 value = [1, 0] 2014->2018 2016 gini = 0.0 samples = 1 value = [1, 0] 2015->2016 2017 gini = 0.0 samples = 7 value = [0, 7] 2015->2017 2021 week of the month_forthweek <= 0.5 gini = 0.463 samples = 11 value = [7, 4] 2020->2021 2028 age <= -1.548 gini = 0.165 samples = 11 value = [1, 10] 2020->2028 2022 duration <= -0.098 gini = 0.346 samples = 9 value = [7, 2] 2021->2022 2027 gini = 0.0 samples = 2 value = [0, 2] 2021->2027 2023 age <= 1.23 gini = 0.444 samples = 3 value = [1, 2] 2022->2023 2026 gini = 0.0 samples = 6 value = [6, 0] 2022->2026 2024 gini = 0.0 samples = 2 value = [0, 2] 2023->2024 2025 gini = 0.0 samples = 1 value = [1, 0] 2023->2025 2029 gini = 0.0 samples = 1 value = [1, 0] 2028->2029 2030 gini = 0.0 samples = 10 value = [0, 10] 2028->2030 2032 week of the month_secondweek <= 0.5 gini = 0.278 samples = 6 value = [5, 1] 2031->2032 2035 balance <= -0.393 gini = 0.482 samples = 101 value = [41, 60] 2031->2035 2033 gini = 0.0 samples = 5 value = [5, 0] 2032->2033 2034 gini = 0.0 samples = 1 value = [0, 1] 2032->2034 2036 gini = 0.0 samples = 6 value = [0, 6] 2035->2036 2037 job_student <= 0.5 gini = 0.491 samples = 95 value = [41, 54] 2035->2037 2038 balance <= 0.927 gini = 0.482 samples = 89 value = [36, 53] 2037->2038 2095 age <= -1.218 gini = 0.278 samples = 6 value = [5, 1] 2037->2095 2039 age <= 0.053 gini = 0.47 samples = 82 value = [31, 51] 2038->2039 2090 week of the month_firstweek <= 0.5 gini = 0.408 samples = 7 value = [5, 2] 2038->2090 2040 duration <= -0.148 gini = 0.493 samples = 52 value = [23, 29] 2039->2040 2073 balance <= 0.139 gini = 0.391 samples = 30 value = [8, 22] 2039->2073 2041 education_unknown <= 0.5 gini = 0.278 samples = 6 value = [5, 1] 2040->2041 2044 age <= -0.135 gini = 0.476 samples = 46 value = [18, 28] 2040->2044 2042 gini = 0.0 samples = 5 value = [5, 0] 2041->2042 2043 gini = 0.0 samples = 1 value = [0, 1] 2041->2043 2045 duration <= -0.047 gini = 0.463 samples = 44 value = [16, 28] 2044->2045 2072 gini = 0.0 samples = 2 value = [2, 0] 2044->2072 2046 gini = 0.0 samples = 6 value = [0, 6] 2045->2046 2047 education_primary <= 0.5 gini = 0.488 samples = 38 value = [16, 22] 2045->2047 2048 duration <= 0.914 gini = 0.467 samples = 35 value = [13, 22] 2047->2048 2071 gini = 0.0 samples = 3 value = [3, 0] 2047->2071 2049 campaign <= -0.085 gini = 0.444 samples = 33 value = [11, 22] 2048->2049 2070 gini = 0.0 samples = 2 value = [2, 0] 2048->2070 2050 age <= -1.171 gini = 0.365 samples = 25 value = [6, 19] 2049->2050 2065 campaign <= 0.238 gini = 0.469 samples = 8 value = [5, 3] 2049->2065 2051 gini = 0.0 samples = 9 value = [0, 9] 2050->2051 2052 balance <= -0.339 gini = 0.469 samples = 16 value = [6, 10] 2050->2052 2053 gini = 0.0 samples = 3 value = [0, 3] 2052->2053 2054 age <= -0.512 gini = 0.497 samples = 13 value = [6, 7] 2052->2054 2055 education_secondary <= 0.5 gini = 0.444 samples = 9 value = [3, 6] 2054->2055 2062 week of the month_firstweek <= 0.5 gini = 0.375 samples = 4 value = [3, 1] 2054->2062 2056 age <= -1.077 gini = 0.278 samples = 6 value = [1, 5] 2055->2056 2059 age <= -1.077 gini = 0.444 samples = 3 value = [2, 1] 2055->2059 2057 gini = 0.0 samples = 1 value = [1, 0] 2056->2057 2058 gini = 0.0 samples = 5 value = [0, 5] 2056->2058 2060 gini = 0.0 samples = 1 value = [0, 1] 2059->2060 2061 gini = 0.0 samples = 2 value = [2, 0] 2059->2061 2063 gini = 0.0 samples = 1 value = [0, 1] 2062->2063 2064 gini = 0.0 samples = 3 value = [3, 0] 2062->2064 2066 job_housemaid <= 0.5 gini = 0.278 samples = 6 value = [5, 1] 2065->2066 2069 gini = 0.0 samples = 2 value = [0, 2] 2065->2069 2067 gini = 0.0 samples = 5 value = [5, 0] 2066->2067 2068 gini = 0.0 samples = 1 value = [0, 1] 2066->2068 2074 marital_married <= 0.5 gini = 0.484 samples = 17 value = [7, 10] 2073->2074 2085 marital_married <= 0.5 gini = 0.142 samples = 13 value = [1, 12] 2073->2085 2075 gini = 0.0 samples = 6 value = [0, 6] 2074->2075 2076 contact_cellular <= 0.5 gini = 0.463 samples = 11 value = [7, 4] 2074->2076 2077 gini = 0.0 samples = 3 value = [3, 0] 2076->2077 2078 duration <= 0.401 gini = 0.5 samples = 8 value = [4, 4] 2076->2078 2079 week of the month_secondweek <= 0.5 gini = 0.375 samples = 4 value = [1, 3] 2078->2079 2082 job_technician <= 0.5 gini = 0.375 samples = 4 value = [3, 1] 2078->2082 2080 gini = 0.0 samples = 3 value = [0, 3] 2079->2080 2081 gini = 0.0 samples = 1 value = [1, 0] 2079->2081 2083 gini = 0.0 samples = 3 value = [3, 0] 2082->2083 2084 gini = 0.0 samples = 1 value = [0, 1] 2082->2084 2086 education_secondary <= 0.5 gini = 0.5 samples = 2 value = [1, 1] 2085->2086 2089 gini = 0.0 samples = 11 value = [0, 11] 2085->2089 2087 gini = 0.0 samples = 1 value = [0, 1] 2086->2087 2088 gini = 0.0 samples = 1 value = [1, 0] 2086->2088 2091 campaign <= 0.238 gini = 0.444 samples = 3 value = [1, 2] 2090->2091 2094 gini = 0.0 samples = 4 value = [4, 0] 2090->2094 2092 gini = 0.0 samples = 2 value = [0, 2] 2091->2092 2093 gini = 0.0 samples = 1 value = [1, 0] 2091->2093 2096 gini = 0.0 samples = 5 value = [5, 0] 2095->2096 2097 gini = 0.0 samples = 1 value = [0, 1] 2095->2097 2099 month_aug <= 0.5 gini = 0.026 samples = 693 value = [684, 9] 2098->2099 2144 gini = 0.0 samples = 3 value = [0, 3] 2098->2144 2100 month_nov <= 0.5 gini = 0.023 samples = 691 value = [683, 8] 2099->2100 2141 education_tertiary <= 0.5 gini = 0.5 samples = 2 value = [1, 1] 2099->2141 2101 age <= -1.548 gini = 0.02 samples = 688 value = [681, 7] 2100->2101 2138 age <= 0.1 gini = 0.444 samples = 3 value = [2, 1] 2100->2138 2102 balance <= -0.321 gini = 0.32 samples = 5 value = [4, 1] 2101->2102 2105 duration <= 0.883 gini = 0.017 samples = 683 value = [677, 6] 2101->2105 2103 gini = 0.0 samples = 4 value = [4, 0] 2102->2103 2104 gini = 0.0 samples = 1 value = [0, 1] 2102->2104 2106 duration <= -0.193 gini = 0.012 samples = 663 value = [659, 4] 2105->2106 2133 age <= 1.56 gini = 0.18 samples = 20 value = [18, 2] 2105->2133 2107 week of the month_firstweek <= 0.5 gini = 0.198 samples = 9 value = [8, 1] 2106->2107 2112 loan_yes <= 0.5 gini = 0.009 samples = 654 value = [651, 3] 2106->2112 2108 gini = 0.0 samples = 7 value = [7, 0] 2107->2108 2109 loan_no <= 0.5 gini = 0.5 samples = 2 value = [1, 1] 2107->2109 2110 gini = 0.0 samples = 1 value = [1, 0] 2109->2110 2111 gini = 0.0 samples = 1 value = [0, 1] 2109->2111 2113 job_management <= 0.5 gini = 0.004 samples = 563 value = [562, 1] 2112->2113 2124 education_unknown <= 0.5 gini = 0.043 samples = 91 value = [89, 2] 2112->2124 2114 gini = 0.0 samples = 466 value = [466, 0] 2113->2114 2115 balance <= -0.447 gini = 0.02 samples = 97 value = [96, 1] 2113->2115 2116 week of the month_firstweek <= 0.5 gini = 0.087 samples = 22 value = [21, 1] 2115->2116 2123 gini = 0.0 samples = 75 value = [75, 0] 2115->2123 2117 gini = 0.0 samples = 16 value = [16, 0] 2116->2117 2118 campaign <= -0.408 gini = 0.278 samples = 6 value = [5, 1] 2116->2118 2119 duration <= 0.217 gini = 0.5 samples = 2 value = [1, 1] 2118->2119 2122 gini = 0.0 samples = 4 value = [4, 0] 2118->2122 2120 gini = 0.0 samples = 1 value = [0, 1] 2119->2120 2121 gini = 0.0 samples = 1 value = [1, 0] 2119->2121 2125 duration <= 0.632 gini = 0.023 samples = 87 value = [86, 1] 2124->2125 2130 duration <= 0.205 gini = 0.375 samples = 4 value = [3, 1] 2124->2130 2126 gini = 0.0 samples = 79 value = [79, 0] 2125->2126 2127 job_management <= 0.5 gini = 0.219 samples = 8 value = [7, 1] 2125->2127 2128 gini = 0.0 samples = 7 value = [7, 0] 2127->2128 2129 gini = 0.0 samples = 1 value = [0, 1] 2127->2129 2131 gini = 0.0 samples = 3 value = [3, 0] 2130->2131 2132 gini = 0.0 samples = 1 value = [0, 1] 2130->2132 2134 default_yes <= 0.5 gini = 0.1 samples = 19 value = [18, 1] 2133->2134 2137 gini = 0.0 samples = 1 value = [0, 1] 2133->2137 2135 gini = 0.0 samples = 18 value = [18, 0] 2134->2135 2136 gini = 0.0 samples = 1 value = [0, 1] 2134->2136 2139 gini = 0.0 samples = 1 value = [0, 1] 2138->2139 2140 gini = 0.0 samples = 2 value = [2, 0] 2138->2140 2142 gini = 0.0 samples = 1 value = [1, 0] 2141->2142 2143 gini = 0.0 samples = 1 value = [0, 1] 2141->2143 2146 job_housemaid <= 0.5 gini = 0.408 samples = 28 value = [8, 20] 2145->2146 2165 duration <= 0.916 gini = 0.43 samples = 16 value = [11, 5] 2145->2165 2147 balance <= 3.76 gini = 0.384 samples = 27 value = [7, 20] 2146->2147 2164 gini = 0.0 samples = 1 value = [1, 0] 2146->2164 2148 age <= -2.066 gini = 0.355 samples = 26 value = [6, 20] 2147->2148 2163 gini = 0.0 samples = 1 value = [1, 0] 2147->2163 2149 gini = 0.0 samples = 1 value = [1, 0] 2148->2149 2150 job_self-employed <= 0.5 gini = 0.32 samples = 25 value = [5, 20] 2148->2150 2151 age <= -1.642 gini = 0.278 samples = 24 value = [4, 20] 2150->2151 2162 gini = 0.0 samples = 1 value = [1, 0] 2150->2162 2152 age <= -1.736 gini = 0.48 samples = 5 value = [2, 3] 2151->2152 2155 marital_married <= 0.5 gini = 0.188 samples = 19 value = [2, 17] 2151->2155 2153 gini = 0.0 samples = 3 value = [0, 3] 2152->2153 2154 gini = 0.0 samples = 2 value = [2, 0] 2152->2154 2156 gini = 0.0 samples = 11 value = [0, 11] 2155->2156 2157 job_services <= 0.5 gini = 0.375 samples = 8 value = [2, 6] 2155->2157 2158 education_primary <= 0.5 gini = 0.245 samples = 7 value = [1, 6] 2157->2158 2161 gini = 0.0 samples = 1 value = [1, 0] 2157->2161 2159 gini = 0.0 samples = 6 value = [0, 6] 2158->2159 2160 gini = 0.0 samples = 1 value = [1, 0] 2158->2160 2166 contact_telephone <= 0.5 gini = 0.337 samples = 14 value = [11, 3] 2165->2166 2173 gini = 0.0 samples = 2 value = [0, 2] 2165->2173 2167 duration <= -0.175 gini = 0.26 samples = 13 value = [11, 2] 2166->2167 2172 gini = 0.0 samples = 1 value = [0, 1] 2166->2172 2168 gini = 0.0 samples = 1 value = [0, 1] 2167->2168 2169 age <= 1.183 gini = 0.153 samples = 12 value = [11, 1] 2167->2169 2170 gini = 0.0 samples = 11 value = [11, 0] 2169->2170 2171 gini = 0.0 samples = 1 value = [0, 1] 2169->2171 2175 age <= -1.36 gini = 0.475 samples = 31 value = [19, 12] 2174->2175 2190 duration <= 0.811 gini = 0.43 samples = 32 value = [10, 22] 2174->2190 2176 job_technician <= 0.5 gini = 0.278 samples = 6 value = [1, 5] 2175->2176 2179 duration <= -0.084 gini = 0.403 samples = 25 value = [18, 7] 2175->2179 2177 gini = 0.0 samples = 5 value = [0, 5] 2176->2177 2178 gini = 0.0 samples = 1 value = [1, 0] 2176->2178 2180 balance <= 0.382 gini = 0.496 samples = 11 value = [5, 6] 2179->2180 2187 job_services <= 0.5 gini = 0.133 samples = 14 value = [13, 1] 2179->2187 2181 week of the month_firstweek <= 0.5 gini = 0.278 samples = 6 value = [1, 5] 2180->2181 2184 duration <= -0.181 gini = 0.32 samples = 5 value = [4, 1] 2180->2184 2182 gini = 0.0 samples = 5 value = [0, 5] 2181->2182 2183 gini = 0.0 samples = 1 value = [1, 0] 2181->2183 2185 gini = 0.0 samples = 1 value = [0, 1] 2184->2185 2186 gini = 0.0 samples = 4 value = [4, 0] 2184->2186 2188 gini = 0.0 samples = 13 value = [13, 0] 2187->2188 2189 gini = 0.0 samples = 1 value = [0, 1] 2187->2189 2191 balance <= 6.749 gini = 0.391 samples = 30 value = [8, 22] 2190->2191 2210 gini = 0.0 samples = 2 value = [2, 0] 2190->2210 2192 duration <= 0.304 gini = 0.366 samples = 29 value = [7, 22] 2191->2192 2209 gini = 0.0 samples = 1 value = [1, 0] 2191->2209 2193 gini = 0.0 samples = 9 value = [0, 9] 2192->2193 2194 week of the month_forthweek <= 0.5 gini = 0.455 samples = 20 value = [7, 13] 2192->2194 2195 duration <= 0.485 gini = 0.5 samples = 10 value = [5, 5] 2194->2195 2202 duration <= 0.487 gini = 0.32 samples = 10 value = [2, 8] 2194->2202 2196 job_technician <= 0.5 gini = 0.32 samples = 5 value = [4, 1] 2195->2196 2199 balance <= 0.703 gini = 0.32 samples = 5 value = [1, 4] 2195->2199 2197 gini = 0.0 samples = 4 value = [4, 0] 2196->2197 2198 gini = 0.0 samples = 1 value = [0, 1] 2196->2198 2200 gini = 0.0 samples = 4 value = [0, 4] 2199->2200 2201 gini = 0.0 samples = 1 value = [1, 0] 2199->2201 2203 gini = 0.0 samples = 5 value = [0, 5] 2202->2203 2204 campaign <= -0.408 gini = 0.48 samples = 5 value = [2, 3] 2202->2204 2205 gini = 0.0 samples = 2 value = [0, 2] 2204->2205 2206 marital_divorced <= 0.5 gini = 0.444 samples = 3 value = [2, 1] 2204->2206 2207 gini = 0.0 samples = 2 value = [2, 0] 2206->2207 2208 gini = 0.0 samples = 1 value = [0, 1] 2206->2208 2212 balance <= -0.405 gini = 0.219 samples = 32 value = [4, 28] 2211->2212 2219 balance <= -0.349 gini = 0.49 samples = 14 value = [6, 8] 2211->2219 2213 age <= -0.465 gini = 0.5 samples = 6 value = [3, 3] 2212->2213 2216 contact_telephone <= 0.5 gini = 0.074 samples = 26 value = [1, 25] 2212->2216 2214 gini = 0.0 samples = 3 value = [3, 0] 2213->2214 2215 gini = 0.0 samples = 3 value = [0, 3] 2213->2215 2217 gini = 0.0 samples = 25 value = [0, 25] 2216->2217 2218 gini = 0.0 samples = 1 value = [1, 0] 2216->2218 2220 gini = 0.0 samples = 4 value = [0, 4] 2219->2220 2221 education_tertiary <= 0.5 gini = 0.48 samples = 10 value = [6, 4] 2219->2221 2222 gini = 0.0 samples = 4 value = [4, 0] 2221->2222 2223 campaign <= -0.408 gini = 0.444 samples = 6 value = [2, 4] 2221->2223 2224 gini = 0.0 samples = 2 value = [2, 0] 2223->2224 2225 gini = 0.0 samples = 4 value = [0, 4] 2223->2225 2227 balance <= -0.319 gini = 0.496 samples = 112 value = [61, 51] 2226->2227 2292 duration <= 0.669 gini = 0.452 samples = 55 value = [19, 36] 2226->2292 2228 month_nov <= 0.5 gini = 0.375 samples = 32 value = [24, 8] 2227->2228 2245 balance <= 1.321 gini = 0.497 samples = 80 value = [37, 43] 2227->2245 2229 duration <= -0.181 gini = 0.285 samples = 29 value = [24, 5] 2228->2229 2244 gini = 0.0 samples = 3 value = [0, 3] 2228->2244 2230 gini = 0.0 samples = 1 value = [0, 1] 2229->2230 2231 education_tertiary <= 0.5 gini = 0.245 samples = 28 value = [24, 4] 2229->2231 2232 month_feb <= 0.5 gini = 0.153 samples = 24 value = [22, 2] 2231->2232 2241 age <= 3.585 gini = 0.5 samples = 4 value = [2, 2] 2231->2241 2233 education_unknown <= 0.5 gini = 0.087 samples = 22 value = [21, 1] 2232->2233 2238 week of the month_firstweek <= 0.5 gini = 0.5 samples = 2 value = [1, 1] 2232->2238 2234 gini = 0.0 samples = 18 value = [18, 0] 2233->2234 2235 duration <= -0.053 gini = 0.375 samples = 4 value = [3, 1] 2233->2235 2236 gini = 0.0 samples = 1 value = [0, 1] 2235->2236 2237 gini = 0.0 samples = 3 value = [3, 0] 2235->2237 2239 gini = 0.0 samples = 1 value = [1, 0] 2238->2239 2240 gini = 0.0 samples = 1 value = [0, 1] 2238->2240 2242 gini = 0.0 samples = 2 value = [0, 2] 2241->2242 2243 gini = 0.0 samples = 2 value = [2, 0] 2241->2243 2246 duration <= 0.219 gini = 0.476 samples = 69 value = [27, 42] 2245->2246 2289 duration <= 0.164 gini = 0.165 samples = 11 value = [10, 1] 2245->2289 2247 job_management <= 0.5 gini = 0.402 samples = 43 value = [12, 31] 2246->2247 2272 duration <= 0.324 gini = 0.488 samples = 26 value = [15, 11] 2246->2272 2248 month_jun <= 0.5 gini = 0.339 samples = 37 value = [8, 29] 2247->2248 2267 campaign <= -0.085 gini = 0.444 samples = 6 value = [4, 2] 2247->2267 2249 duration <= -0.191 gini = 0.291 samples = 34 value = [6, 28] 2248->2249 2264 week of the month_forthweek <= 0.5 gini = 0.444 samples = 3 value = [2, 1] 2248->2264 2250 gini = 0.0 samples = 2 value = [2, 0] 2249->2250 2251 age <= 2.549 gini = 0.219 samples = 32 value = [4, 28] 2249->2251 2252 gini = 0.0 samples = 16 value = [0, 16] 2251->2252 2253 age <= 2.784 gini = 0.375 samples = 16 value = [4, 12] 2251->2253 2254 marital_divorced <= 0.5 gini = 0.444 samples = 3 value = [2, 1] 2253->2254 2257 month_mar <= 0.5 gini = 0.26 samples = 13 value = [2, 11] 2253->2257 2255 gini = 0.0 samples = 2 value = [2, 0] 2254->2255 2256 gini = 0.0 samples = 1 value = [0, 1] 2254->2256 2258 month_feb <= 0.5 gini = 0.153 samples = 12 value = [1, 11] 2257->2258 2263 gini = 0.0 samples = 1 value = [1, 0] 2257->2263 2259 gini = 0.0 samples = 9 value = [0, 9] 2258->2259 2260 contact_telephone <= 0.5 gini = 0.444 samples = 3 value = [1, 2] 2258->2260 2261 gini = 0.0 samples = 2 value = [0, 2] 2260->2261 2262 gini = 0.0 samples = 1 value = [1, 0] 2260->2262 2265 gini = 0.0 samples = 1 value = [0, 1] 2264->2265 2266 gini = 0.0 samples = 2 value = [2, 0] 2264->2266 2268 gini = 0.0 samples = 3 value = [3, 0] 2267->2268 2269 balance <= 0.849 gini = 0.444 samples = 3 value = [1, 2] 2267->2269 2270 gini = 0.0 samples = 2 value = [0, 2] 2269->2270 2271 gini = 0.0 samples = 1 value = [1, 0] 2269->2271 2273 week of the month_secondweek <= 0.5 gini = 0.32 samples = 10 value = [8, 2] 2272->2273 2278 marital_divorced <= 0.5 gini = 0.492 samples = 16 value = [7, 9] 2272->2278 2274 gini = 0.0 samples = 7 value = [7, 0] 2273->2274 2275 contact_telephone <= 0.5 gini = 0.444 samples = 3 value = [1, 2] 2273->2275 2276 gini = 0.0 samples = 2 value = [0, 2] 2275->2276 2277 gini = 0.0 samples = 1 value = [1, 0] 2275->2277 2279 education_tertiary <= 0.5 gini = 0.486 samples = 12 value = [7, 5] 2278->2279 2288 gini = 0.0 samples = 4 value = [0, 4] 2278->2288 2280 age <= 3.396 gini = 0.42 samples = 10 value = [7, 3] 2279->2280 2287 gini = 0.0 samples = 2 value = [0, 2] 2279->2287 2281 job_housemaid <= 0.5 gini = 0.219 samples = 8 value = [7, 1] 2280->2281 2286 gini = 0.0 samples = 2 value = [0, 2] 2280->2286 2282 gini = 0.0 samples = 6 value = [6, 0] 2281->2282 2283 contact_telephone <= 0.5 gini = 0.5 samples = 2 value = [1, 1] 2281->2283 2284 gini = 0.0 samples = 1 value = [1, 0] 2283->2284 2285 gini = 0.0 samples = 1 value = [0, 1] 2283->2285 2290 gini = 0.0 samples = 10 value = [10, 0] 2289->2290 2291 gini = 0.0 samples = 1 value = [0, 1] 2289->2291 2293 job_unknown <= 0.5 gini = 0.293 samples = 28 value = [5, 23] 2292->2293 2306 duration <= 0.828 gini = 0.499 samples = 27 value = [14, 13] 2292->2306 2294 balance <= -0.215 gini = 0.204 samples = 26 value = [3, 23] 2293->2294 2305 gini = 0.0 samples = 2 value = [2, 0] 2293->2305 2295 gini = 0.0 samples = 13 value = [0, 13] 2294->2295 2296 balance <= -0.204 gini = 0.355 samples = 13 value = [3, 10] 2294->2296 2297 gini = 0.0 samples = 1 value = [1, 0] 2296->2297 2298 month_aug <= 0.5 gini = 0.278 samples = 12 value = [2, 10] 2296->2298 2299 week of the month_forthweek <= 0.5 gini = 0.165 samples = 11 value = [1, 10] 2298->2299 2304 gini = 0.0 samples = 1 value = [1, 0] 2298->2304 2300 gini = 0.0 samples = 9 value = [0, 9] 2299->2300 2301 marital_divorced <= 0.5 gini = 0.5 samples = 2 value = [1, 1] 2299->2301 2302 gini = 0.0 samples = 1 value = [1, 0] 2301->2302 2303 gini = 0.0 samples = 1 value = [0, 1] 2301->2303 2307 month_aug <= 0.5 gini = 0.408 samples = 14 value = [10, 4] 2306->2307 2314 duration <= 0.892 gini = 0.426 samples = 13 value = [4, 9] 2306->2314 2308 month_nov <= 0.5 gini = 0.278 samples = 12 value = [10, 2] 2307->2308 2313 gini = 0.0 samples = 2 value = [0, 2] 2307->2313 2309 gini = 0.0 samples = 9 value = [9, 0] 2308->2309 2310 week of the month_thirdweek <= 0.5 gini = 0.444 samples = 3 value = [1, 2] 2308->2310 2311 gini = 0.0 samples = 1 value = [1, 0] 2310->2311 2312 gini = 0.0 samples = 2 value = [0, 2] 2310->2312 2315 gini = 0.0 samples = 4 value = [0, 4] 2314->2315 2316 job_retired <= 0.5 gini = 0.494 samples = 9 value = [4, 5] 2314->2316 2317 gini = 0.0 samples = 2 value = [2, 0] 2316->2317 2318 week of the month_forthweek <= 0.5 gini = 0.408 samples = 7 value = [2, 5] 2316->2318 2319 balance <= 6.028 gini = 0.278 samples = 6 value = [1, 5] 2318->2319 2322 gini = 0.0 samples = 1 value = [1, 0] 2318->2322 2320 gini = 0.0 samples = 5 value = [0, 5] 2319->2320 2321 gini = 0.0 samples = 1 value = [1, 0] 2319->2321 2324 poutcome_unknown <= 0.5 gini = 0.493 samples = 122 value = [68, 54] 2323->2324 2389 duration <= -0.137 gini = 0.412 samples = 100 value = [29, 71] 2323->2389 2325 education_unknown <= 0.5 gini = 0.18 samples = 30 value = [27, 3] 2324->2325 2334 duration <= 0.737 gini = 0.494 samples = 92 value = [41, 51] 2324->2334 2326 job_management <= 0.5 gini = 0.071 samples = 27 value = [26, 1] 2325->2326 2331 job_management <= 0.5 gini = 0.444 samples = 3 value = [1, 2] 2325->2331 2327 gini = 0.0 samples = 22 value = [22, 0] 2326->2327 2328 duration <= -0.057 gini = 0.32 samples = 5 value = [4, 1] 2326->2328 2329 gini = 0.0 samples = 1 value = [0, 1] 2328->2329 2330 gini = 0.0 samples = 4 value = [4, 0] 2328->2330 2332 gini = 0.0 samples = 1 value = [1, 0] 2331->2332 2333 gini = 0.0 samples = 2 value = [0, 2] 2331->2333 2335 balance <= 0.935 gini = 0.5 samples = 81 value = [40, 41] 2334->2335 2384 job_blue-collar <= 0.5 gini = 0.165 samples = 11 value = [1, 10] 2334->2384 2336 balance <= -0.01 gini = 0.492 samples = 71 value = [31, 40] 2335->2336 2381 job_admin. <= 0.5 gini = 0.18 samples = 10 value = [9, 1] 2335->2381 2337 balance <= -0.127 gini = 0.491 samples = 44 value = [25, 19] 2336->2337 2366 duration <= 0.601 gini = 0.346 samples = 27 value = [6, 21] 2336->2366 2338 campaign <= -0.085 gini = 0.5 samples = 39 value = [20, 19] 2337->2338 2365 gini = 0.0 samples = 5 value = [5, 0] 2337->2365 2339 age <= 0.43 gini = 0.49 samples = 35 value = [20, 15] 2338->2339 2364 gini = 0.0 samples = 4 value = [0, 4] 2338->2364 2340 duration <= -0.135 gini = 0.332 samples = 19 value = [15, 4] 2339->2340 2351 duration <= -0.1 gini = 0.43 samples = 16 value = [5, 11] 2339->2351 2341 job_admin. <= 0.5 gini = 0.444 samples = 3 value = [1, 2] 2340->2341 2344 contact_cellular <= 0.5 gini = 0.219 samples = 16 value = [14, 2] 2340->2344 2342 gini = 0.0 samples = 2 value = [0, 2] 2341->2342 2343 gini = 0.0 samples = 1 value = [1, 0] 2341->2343 2345 gini = 0.0 samples = 1 value = [0, 1] 2344->2345 2346 job_technician <= 0.5 gini = 0.124 samples = 15 value = [14, 1] 2344->2346 2347 gini = 0.0 samples = 12 value = [12, 0] 2346->2347 2348 age <= -0.229 gini = 0.444 samples = 3 value = [2, 1] 2346->2348 2349 gini = 0.0 samples = 1 value = [0, 1] 2348->2349 2350 gini = 0.0 samples = 2 value = [2, 0] 2348->2350 2352 gini = 0.0 samples = 2 value = [2, 0] 2351->2352 2353 job_admin. <= 0.5 gini = 0.337 samples = 14 value = [3, 11] 2351->2353 2354 age <= 0.712 gini = 0.26 samples = 13 value = [2, 11] 2353->2354 2363 gini = 0.0 samples = 1 value = [1, 0] 2353->2363 2355 duration <= 0.098 gini = 0.5 samples = 2 value = [1, 1] 2354->2355 2358 contact_cellular <= 0.5 gini = 0.165 samples = 11 value = [1, 10] 2354->2358 2356 gini = 0.0 samples = 1 value = [1, 0] 2355->2356 2357 gini = 0.0 samples = 1 value = [0, 1] 2355->2357 2359 age <= 2.737 gini = 0.5 samples = 2 value = [1, 1] 2358->2359 2362 gini = 0.0 samples = 9 value = [0, 9] 2358->2362 2360 gini = 0.0 samples = 1 value = [1, 0] 2359->2360 2361 gini = 0.0 samples = 1 value = [0, 1] 2359->2361 2367 job_housemaid <= 0.5 gini = 0.278 samples = 24 value = [4, 20] 2366->2367 2378 duration <= 0.714 gini = 0.444 samples = 3 value = [2, 1] 2366->2378 2368 job_blue-collar <= 0.5 gini = 0.227 samples = 23 value = [3, 20] 2367->2368 2377 gini = 0.0 samples = 1 value = [1, 0] 2367->2377 2369 campaign <= -0.085 gini = 0.165 samples = 22 value = [2, 20] 2368->2369 2376 gini = 0.0 samples = 1 value = [1, 0] 2368->2376 2370 gini = 0.0 samples = 15 value = [0, 15] 2369->2370 2371 job_unemployed <= 0.5 gini = 0.408 samples = 7 value = [2, 5] 2369->2371 2372 job_technician <= 0.5 gini = 0.278 samples = 6 value = [1, 5] 2371->2372 2375 gini = 0.0 samples = 1 value = [1, 0] 2371->2375 2373 gini = 0.0 samples = 5 value = [0, 5] 2372->2373 2374 gini = 0.0 samples = 1 value = [1, 0] 2372->2374 2379 gini = 0.0 samples = 2 value = [2, 0] 2378->2379 2380 gini = 0.0 samples = 1 value = [0, 1] 2378->2380 2382 gini = 0.0 samples = 9 value = [9, 0] 2381->2382 2383 gini = 0.0 samples = 1 value = [0, 1] 2381->2383 2385 gini = 0.0 samples = 8 value = [0, 8] 2384->2385 2386 week of the month_thirdweek <= 0.5 gini = 0.444 samples = 3 value = [1, 2] 2384->2386 2387 gini = 0.0 samples = 2 value = [0, 2] 2386->2387 2388 gini = 0.0 samples = 1 value = [1, 0] 2386->2388 2390 marital_single <= 0.5 gini = 0.42 samples = 10 value = [7, 3] 2389->2390 2397 education_unknown <= 0.5 gini = 0.369 samples = 90 value = [22, 68] 2389->2397 2391 gini = 0.0 samples = 5 value = [5, 0] 2390->2391 2392 age <= -0.559 gini = 0.48 samples = 5 value = [2, 3] 2390->2392 2393 duration <= -0.181 gini = 0.444 samples = 3 value = [2, 1] 2392->2393 2396 gini = 0.0 samples = 2 value = [0, 2] 2392->2396 2394 gini = 0.0 samples = 1 value = [0, 1] 2393->2394 2395 gini = 0.0 samples = 2 value = [2, 0] 2393->2395 2398 balance <= 0.798 gini = 0.305 samples = 80 value = [15, 65] 2397->2398 2433 age <= 1.466 gini = 0.42 samples = 10 value = [7, 3] 2397->2433 2399 campaign <= -0.408 gini = 0.248 samples = 69 value = [10, 59] 2398->2399 2426 education_tertiary <= 0.5 gini = 0.496 samples = 11 value = [5, 6] 2398->2426 2400 education_secondary <= 0.5 gini = 0.165 samples = 44 value = [4, 40] 2399->2400 2411 poutcome_unknown <= 0.5 gini = 0.365 samples = 25 value = [6, 19] 2399->2411 2401 gini = 0.0 samples = 19 value = [0, 19] 2400->2401 2402 age <= 0.1 gini = 0.269 samples = 25 value = [4, 21] 2400->2402 2403 job_retired <= 0.5 gini = 0.111 samples = 17 value = [1, 16] 2402->2403 2406 duration <= 0.06 gini = 0.469 samples = 8 value = [3, 5] 2402->2406 2404 gini = 0.0 samples = 16 value = [0, 16] 2403->2404 2405 gini = 0.0 samples = 1 value = [1, 0] 2403->2405 2407 gini = 0.0 samples = 4 value = [0, 4] 2406->2407 2408 marital_married <= 0.5 gini = 0.375 samples = 4 value = [3, 1] 2406->2408 2409 gini = 0.0 samples = 1 value = [0, 1] 2408->2409 2410 gini = 0.0 samples = 3 value = [3, 0] 2408->2410 2412 duration <= 0.186 gini = 0.444 samples = 3 value = [2, 1] 2411->2412 2415 duration <= 0.298 gini = 0.298 samples = 22 value = [4, 18] 2411->2415 2413 gini = 0.0 samples = 2 value = [2, 0] 2412->2413 2414 gini = 0.0 samples = 1 value = [0, 1] 2412->2414 2416 gini = 0.0 samples = 10 value = [0, 10] 2415->2416 2417 duration <= 0.485 gini = 0.444 samples = 12 value = [4, 8] 2415->2417 2418 gini = 0.0 samples = 2 value = [2, 0] 2417->2418 2419 job_student <= 0.5 gini = 0.32 samples = 10 value = [2, 8] 2417->2419 2420 balance <= 0.089 gini = 0.198 samples = 9 value = [1, 8] 2419->2420 2425 gini = 0.0 samples = 1 value = [1, 0] 2419->2425 2421 gini = 0.0 samples = 7 value = [0, 7] 2420->2421 2422 education_secondary <= 0.5 gini = 0.5 samples = 2 value = [1, 1] 2420->2422 2423 gini = 0.0 samples = 1 value = [1, 0] 2422->2423 2424 gini = 0.0 samples = 1 value = [0, 1] 2422->2424 2427 gini = 0.0 samples = 4 value = [4, 0] 2426->2427 2428 balance <= 1.125 gini = 0.245 samples = 7 value = [1, 6] 2426->2428 2429 duration <= 0.434 gini = 0.5 samples = 2 value = [1, 1] 2428->2429 2432 gini = 0.0 samples = 5 value = [0, 5] 2428->2432 2430 gini = 0.0 samples = 1 value = [1, 0] 2429->2430 2431 gini = 0.0 samples = 1 value = [0, 1] 2429->2431 2434 marital_married <= 0.5 gini = 0.5 samples = 6 value = [3, 3] 2433->2434 2441 gini = 0.0 samples = 4 value = [4, 0] 2433->2441 2435 balance <= -0.129 gini = 0.375 samples = 4 value = [3, 1] 2434->2435 2440 gini = 0.0 samples = 2 value = [0, 2] 2434->2440 2436 gini = 0.0 samples = 2 value = [2, 0] 2435->2436 2437 age <= 0.006 gini = 0.5 samples = 2 value = [1, 1] 2435->2437 2438 gini = 0.0 samples = 1 value = [0, 1] 2437->2438 2439 gini = 0.0 samples = 1 value = [1, 0] 2437->2439 2443 month_dec <= 0.5 gini = 0.101 samples = 5555 value = [5260, 295] 2442->2443 3182 poutcome_unknown <= 0.5 gini = 0.469 samples = 24 value = [9, 15] 2442->3182 2444 month_mar <= 0.5 gini = 0.098 samples = 5545 value = [5259, 286] 2443->2444 3179 job_self-employed <= 0.5 gini = 0.18 samples = 10 value = [1, 9] 2443->3179 2445 duration <= 0.568 gini = 0.094 samples = 5522 value = [5250, 272] 2444->2445 3168 age <= -0.465 gini = 0.476 samples = 23 value = [9, 14] 2444->3168 2446 month_sep <= 0.5 gini = 0.066 samples = 4521 value = [4367, 154] 2445->2446 2867 contact_cellular <= 0.5 gini = 0.208 samples = 1001 value = [883, 118] 2445->2867 2447 age <= 1.984 gini = 0.063 samples = 4509 value = [4363, 146] 2446->2447 2860 duration <= 0.065 gini = 0.444 samples = 12 value = [4, 8] 2446->2860 2448 contact_unknown <= 0.5 gini = 0.061 samples = 4504 value = [4362, 142] 2447->2448 2857 month_apr <= 0.5 gini = 0.32 samples = 5 value = [1, 4] 2447->2857 2449 month_jun <= 0.5 gini = 0.098 samples = 2662 value = [2525, 137] 2448->2449 2834 month_apr <= 0.5 gini = 0.005 samples = 1842 value = [1837, 5] 2448->2834 2450 month_aug <= 0.5 gini = 0.087 samples = 2627 value = [2507, 120] 2449->2450 2811 job_blue-collar <= 0.5 gini = 0.5 samples = 35 value = [18, 17] 2449->2811 2451 duration <= 0.32 gini = 0.079 samples = 2465 value = [2364, 101] 2450->2451 2774 poutcome_unknown <= 0.5 gini = 0.207 samples = 162 value = [143, 19] 2450->2774 2452 balance <= 5.45 gini = 0.062 samples = 1966 value = [1903, 63] 2451->2452 2665 job_unemployed <= 0.5 gini = 0.141 samples = 499 value = [461, 38] 2451->2665 2453 job_management <= 0.5 gini = 0.06 samples = 1961 value = [1900, 61] 2452->2453 2660 balance <= 8.104 gini = 0.48 samples = 5 value = [3, 2] 2452->2660 2454 balance <= -0.227 gini = 0.046 samples = 1610 value = [1572, 38] 2453->2454 2595 month_apr <= 0.5 gini = 0.122 samples = 351 value = [328, 23] 2453->2595 2455 duration <= 0.203 gini = 0.029 samples = 1016 value = [1001, 15] 2454->2455 2518 balance <= -0.225 gini = 0.074 samples = 594 value = [571, 23] 2454->2518 2456 balance <= -0.568 gini = 0.019 samples = 855 value = [847, 8] 2455->2456 2497 campaign <= -0.408 gini = 0.083 samples = 161 value = [154, 7] 2455->2497 2457 balance <= -0.569 gini = 0.071 samples = 54 value = [52, 2] 2456->2457 2464 balance <= -0.272 gini = 0.015 samples = 801 value = [795, 6] 2456->2464 2458 age <= -1.265 gini = 0.037 samples = 53 value = [52, 1] 2457->2458 2463 gini = 0.0 samples = 1 value = [0, 1] 2457->2463 2459 balance <= -0.642 gini = 0.444 samples = 3 value = [2, 1] 2458->2459 2462 gini = 0.0 samples = 50 value = [50, 0] 2458->2462 2460 gini = 0.0 samples = 2 value = [2, 0] 2459->2460 2461 gini = 0.0 samples = 1 value = [0, 1] 2459->2461 2465 balance <= -0.364 gini = 0.011 samples = 720 value = [716, 4] 2464->2465 2490 balance <= -0.271 gini = 0.048 samples = 81 value = [79, 2] 2464->2490 2466 balance <= -0.364 gini = 0.016 samples = 486 value = [482, 4] 2465->2466 2489 gini = 0.0 samples = 234 value = [234, 0] 2465->2489 2467 duration <= -0.135 gini = 0.012 samples = 484 value = [481, 3] 2466->2467 2486 education_primary <= 0.5 gini = 0.5 samples = 2 value = [1, 1] 2466->2486 2468 duration <= -0.138 gini = 0.041 samples = 96 value = [94, 2] 2467->2468 2479 campaign <= 0.56 gini = 0.005 samples = 388 value = [387, 1] 2467->2479 2469 job_technician <= 0.5 gini = 0.023 samples = 87 value = [86, 1] 2468->2469 2476 month_apr <= 0.5 gini = 0.198 samples = 9 value = [8, 1] 2468->2476 2470 gini = 0.0 samples = 71 value = [71, 0] 2469->2470 2471 week of the month_firstweek <= 0.5 gini = 0.117 samples = 16 value = [15, 1] 2469->2471 2472 gini = 0.0 samples = 14 value = [14, 0] 2471->2472 2473 marital_married <= 0.5 gini = 0.5 samples = 2 value = [1, 1] 2471->2473 2474 gini = 0.0 samples = 1 value = [1, 0] 2473->2474 2475 gini = 0.0 samples = 1 value = [0, 1] 2473->2475 2477 gini = 0.0 samples = 8 value = [8, 0] 2476->2477 2478 gini = 0.0 samples = 1 value = [0, 1] 2476->2478 2480 gini = 0.0 samples = 360 value = [360, 0] 2479->2480 2481 month_may <= 0.5 gini = 0.069 samples = 28 value = [27, 1] 2479->2481 2482 gini = 0.0 samples = 22 value = [22, 0] 2481->2482 2483 week of the month_thirdweek <= 0.5 gini = 0.278 samples = 6 value = [5, 1] 2481->2483 2484 gini = 0.0 samples = 5 value = [5, 0] 2483->2484 2485 gini = 0.0 samples = 1 value = [0, 1] 2483->2485 2487 gini = 0.0 samples = 1 value = [1, 0] 2486->2487 2488 gini = 0.0 samples = 1 value = [0, 1] 2486->2488 2491 gini = 0.0 samples = 1 value = [0, 1] 2490->2491 2492 poutcome_other <= 0.5 gini = 0.025 samples = 80 value = [79, 1] 2490->2492 2493 gini = 0.0 samples = 72 value = [72, 0] 2492->2493 2494 week of the month_forthweek <= 0.5 gini = 0.219 samples = 8 value = [7, 1] 2492->2494 2495 gini = 0.0 samples = 7 value = [7, 0] 2494->2495 2496 gini = 0.0 samples = 1 value = [0, 1] 2494->2496 2498 age <= 1.324 gini = 0.165 samples = 66 value = [60, 6] 2497->2498 2513 contact_telephone <= 0.5 gini = 0.021 samples = 95 value = [94, 1] 2497->2513 2499 job_entrepreneur <= 0.5 gini = 0.142 samples = 65 value = [60, 5] 2498->2499 2512 gini = 0.0 samples = 1 value = [0, 1] 2498->2512 2500 week of the month_forthweek <= 0.5 gini = 0.117 samples = 64 value = [60, 4] 2499->2500 2511 gini = 0.0 samples = 1 value = [0, 1] 2499->2511 2501 balance <= -0.292 gini = 0.037 samples = 53 value = [52, 1] 2500->2501 2506 age <= -0.794 gini = 0.397 samples = 11 value = [8, 3] 2500->2506 2502 gini = 0.0 samples = 45 value = [45, 0] 2501->2502 2503 duration <= 0.283 gini = 0.219 samples = 8 value = [7, 1] 2501->2503 2504 gini = 0.0 samples = 7 value = [7, 0] 2503->2504 2505 gini = 0.0 samples = 1 value = [0, 1] 2503->2505 2507 gini = 0.0 samples = 6 value = [6, 0] 2506->2507 2508 month_jul <= 0.5 gini = 0.48 samples = 5 value = [2, 3] 2506->2508 2509 gini = 0.0 samples = 3 value = [0, 3] 2508->2509 2510 gini = 0.0 samples = 2 value = [2, 0] 2508->2510 2514 gini = 0.0 samples = 90 value = [90, 0] 2513->2514 2515 education_tertiary <= 0.5 gini = 0.32 samples = 5 value = [4, 1] 2513->2515 2516 gini = 0.0 samples = 4 value = [4, 0] 2515->2516 2517 gini = 0.0 samples = 1 value = [0, 1] 2515->2517 2519 gini = 0.0 samples = 1 value = [0, 1] 2518->2519 2520 month_feb <= 0.5 gini = 0.071 samples = 593 value = [571, 22] 2518->2520 2521 job_housemaid <= 0.5 gini = 0.056 samples = 554 value = [538, 16] 2520->2521 2580 week of the month_firstweek <= 0.5 gini = 0.26 samples = 39 value = [33, 6] 2520->2580 2522 balance <= -0.197 gini = 0.05 samples = 544 value = [530, 14] 2521->2522 2575 education_unknown <= 0.5 gini = 0.32 samples = 10 value = [8, 2] 2521->2575 2523 balance <= -0.198 gini = 0.159 samples = 46 value = [42, 4] 2522->2523 2530 month_jan <= 0.5 gini = 0.039 samples = 498 value = [488, 10] 2522->2530 2524 week of the month_forthweek <= 0.5 gini = 0.087 samples = 44 value = [42, 2] 2523->2524 2529 gini = 0.0 samples = 2 value = [0, 2] 2523->2529 2525 gini = 0.0 samples = 38 value = [38, 0] 2524->2525 2526 age <= -0.7 gini = 0.444 samples = 6 value = [4, 2] 2524->2526 2527 gini = 0.0 samples = 2 value = [0, 2] 2526->2527 2528 gini = 0.0 samples = 4 value = [4, 0] 2526->2528 2531 balance <= 3.377 gini = 0.033 samples = 484 value = [476, 8] 2530->2531 2572 week of the month_forthweek <= 0.5 gini = 0.245 samples = 14 value = [12, 2] 2530->2572 2532 education_secondary <= 0.5 gini = 0.029 samples = 473 value = [466, 7] 2531->2532 2569 week of the month_secondweek <= 0.5 gini = 0.165 samples = 11 value = [10, 1] 2531->2569 2533 gini = 0.0 samples = 144 value = [144, 0] 2532->2533 2534 job_unemployed <= 0.5 gini = 0.042 samples = 329 value = [322, 7] 2532->2534 2535 age <= -0.606 gini = 0.037 samples = 322 value = [316, 6] 2534->2535 2566 month_may <= 0.5 gini = 0.245 samples = 7 value = [6, 1] 2534->2566 2536 gini = 0.0 samples = 136 value = [136, 0] 2535->2536 2537 month_apr <= 0.5 gini = 0.062 samples = 186 value = [180, 6] 2535->2537 2538 balance <= 1.844 gini = 0.04 samples = 146 value = [143, 3] 2537->2538 2553 age <= 1.23 gini = 0.139 samples = 40 value = [37, 3] 2537->2553 2539 age <= -0.324 gini = 0.029 samples = 138 value = [136, 2] 2538->2539 2550 balance <= 1.902 gini = 0.219 samples = 8 value = [7, 1] 2538->2550 2540 contact_cellular <= 0.5 gini = 0.102 samples = 37 value = [35, 2] 2539->2540 2549 gini = 0.0 samples = 101 value = [101, 0] 2539->2549 2541 marital_married <= 0.5 gini = 0.5 samples = 2 value = [1, 1] 2540->2541 2544 campaign <= 0.238 gini = 0.056 samples = 35 value = [34, 1] 2540->2544 2542 gini = 0.0 samples = 1 value = [1, 0] 2541->2542 2543 gini = 0.0 samples = 1 value = [0, 1] 2541->2543 2545 gini = 0.0 samples = 31 value = [31, 0] 2544->2545 2546 job_blue-collar <= 0.5 gini = 0.375 samples = 4 value = [3, 1] 2544->2546 2547 gini = 0.0 samples = 3 value = [3, 0] 2546->2547 2548 gini = 0.0 samples = 1 value = [0, 1] 2546->2548 2551 gini = 0.0 samples = 1 value = [0, 1] 2550->2551 2552 gini = 0.0 samples = 7 value = [7, 0] 2550->2552 2554 balance <= -0.148 gini = 0.1 samples = 38 value = [36, 2] 2553->2554 2563 marital_divorced <= 0.5 gini = 0.5 samples = 2 value = [1, 1] 2553->2563 2555 job_blue-collar <= 0.5 gini = 0.444 samples = 3 value = [2, 1] 2554->2555 2558 job_technician <= 0.5 gini = 0.056 samples = 35 value = [34, 1] 2554->2558 2556 gini = 0.0 samples = 1 value = [0, 1] 2555->2556 2557 gini = 0.0 samples = 2 value = [2, 0] 2555->2557 2559 gini = 0.0 samples = 30 value = [30, 0] 2558->2559 2560 age <= 0.147 gini = 0.32 samples = 5 value = [4, 1] 2558->2560 2561 gini = 0.0 samples = 4 value = [4, 0] 2560->2561 2562 gini = 0.0 samples = 1 value = [0, 1] 2560->2562 2564 gini = 0.0 samples = 1 value = [1, 0] 2563->2564 2565 gini = 0.0 samples = 1 value = [0, 1] 2563->2565 2567 gini = 0.0 samples = 6 value = [6, 0] 2566->2567 2568 gini = 0.0 samples = 1 value = [0, 1] 2566->2568 2570 gini = 0.0 samples = 10 value = [10, 0] 2569->2570 2571 gini = 0.0 samples = 1 value = [0, 1] 2569->2571 2573 gini = 0.0 samples = 2 value = [0, 2] 2572->2573 2574 gini = 0.0 samples = 12 value = [12, 0] 2572->2574 2576 duration <= 0.261 gini = 0.198 samples = 9 value = [8, 1] 2575->2576 2579 gini = 0.0 samples = 1 value = [0, 1] 2575->2579 2577 gini = 0.0 samples = 8 value = [8, 0] 2576->2577 2578 gini = 0.0 samples = 1 value = [0, 1] 2576->2578 2581 loan_no <= 0.5 gini = 0.444 samples = 6 value = [2, 4] 2580->2581 2586 job_technician <= 0.5 gini = 0.114 samples = 33 value = [31, 2] 2580->2586 2582 marital_single <= 0.5 gini = 0.444 samples = 3 value = [2, 1] 2581->2582 2585 gini = 0.0 samples = 3 value = [0, 3] 2581->2585 2583 gini = 0.0 samples = 2 value = [2, 0] 2582->2583 2584 gini = 0.0 samples = 1 value = [0, 1] 2582->2584 2587 gini = 0.0 samples = 23 value = [23, 0] 2586->2587 2588 duration <= -0.127 gini = 0.32 samples = 10 value = [8, 2] 2586->2588 2589 gini = 0.0 samples = 1 value = [0, 1] 2588->2589 2590 age <= 1.089 gini = 0.198 samples = 9 value = [8, 1] 2588->2590 2591 gini = 0.0 samples = 7 value = [7, 0] 2590->2591 2592 balance <= 0.025 gini = 0.5 samples = 2 value = [1, 1] 2590->2592 2593 gini = 0.0 samples = 1 value = [1, 0] 2592->2593 2594 gini = 0.0 samples = 1 value = [0, 1] 2592->2594 2596 month_feb <= 0.5 gini = 0.095 samples = 300 value = [285, 15] 2595->2596 2645 week of the month_forthweek <= 0.5 gini = 0.265 samples = 51 value = [43, 8] 2595->2645 2597 age <= -0.889 gini = 0.076 samples = 277 value = [266, 11] 2596->2597 2638 week of the month_firstweek <= 0.5 gini = 0.287 samples = 23 value = [19, 4] 2596->2638 2598 contact_telephone <= 0.5 gini = 0.194 samples = 55 value = [49, 6] 2597->2598 2617 education_unknown <= 0.5 gini = 0.044 samples = 222 value = [217, 5] 2597->2617 2599 balance <= -0.34 gini = 0.142 samples = 52 value = [48, 4] 2598->2599 2614 loan_yes <= 0.5 gini = 0.444 samples = 3 value = [1, 2] 2598->2614 2600 gini = 0.0 samples = 27 value = [27, 0] 2599->2600 2601 balance <= -0.267 gini = 0.269 samples = 25 value = [21, 4] 2599->2601 2602 gini = 0.0 samples = 1 value = [0, 1] 2601->2602 2603 default_no <= 0.5 gini = 0.219 samples = 24 value = [21, 3] 2601->2603 2604 gini = 0.0 samples = 1 value = [0, 1] 2603->2604 2605 week of the month_secondweek <= 0.5 gini = 0.159 samples = 23 value = [21, 2] 2603->2605 2606 balance <= 0.07 gini = 0.095 samples = 20 value = [19, 1] 2605->2606 2611 marital_married <= 0.5 gini = 0.444 samples = 3 value = [2, 1] 2605->2611 2607 balance <= -0.036 gini = 0.32 samples = 5 value = [4, 1] 2606->2607 2610 gini = 0.0 samples = 15 value = [15, 0] 2606->2610 2608 gini = 0.0 samples = 4 value = [4, 0] 2607->2608 2609 gini = 0.0 samples = 1 value = [0, 1] 2607->2609 2612 gini = 0.0 samples = 1 value = [0, 1] 2611->2612 2613 gini = 0.0 samples = 2 value = [2, 0] 2611->2613 2615 gini = 0.0 samples = 2 value = [0, 2] 2614->2615 2616 gini = 0.0 samples = 1 value = [1, 0] 2614->2616 2618 age <= -0.229 gini = 0.036 samples = 218 value = [214, 4] 2617->2618 2635 duration <= 0.129 gini = 0.375 samples = 4 value = [3, 1] 2617->2635 2619 education_secondary <= 0.5 gini = 0.084 samples = 91 value = [87, 4] 2618->2619 2634 gini = 0.0 samples = 127 value = [127, 0] 2618->2634 2620 age <= -0.324 gini = 0.048 samples = 81 value = [79, 2] 2619->2620 2629 balance <= -0.244 gini = 0.32 samples = 10 value = [8, 2] 2619->2629 2621 duration <= 0.188 gini = 0.027 samples = 74 value = [73, 1] 2620->2621 2626 month_jul <= 0.5 gini = 0.245 samples = 7 value = [6, 1] 2620->2626 2622 gini = 0.0 samples = 60 value = [60, 0] 2621->2622 2623 duration <= 0.197 gini = 0.133 samples = 14 value = [13, 1] 2621->2623 2624 gini = 0.0 samples = 1 value = [0, 1] 2623->2624 2625 gini = 0.0 samples = 13 value = [13, 0] 2623->2625 2627 gini = 0.0 samples = 6 value = [6, 0] 2626->2627 2628 gini = 0.0 samples = 1 value = [0, 1] 2626->2628 2630 gini = 0.0 samples = 6 value = [6, 0] 2629->2630 2631 duration <= 0.001 gini = 0.5 samples = 4 value = [2, 2] 2629->2631 2632 gini = 0.0 samples = 2 value = [2, 0] 2631->2632 2633 gini = 0.0 samples = 2 value = [0, 2] 2631->2633 2636 gini = 0.0 samples = 3 value = [3, 0] 2635->2636 2637 gini = 0.0 samples = 1 value = [0, 1] 2635->2637 2639 gini = 0.0 samples = 3 value = [0, 3] 2638->2639 2640 balance <= -0.447 gini = 0.095 samples = 20 value = [19, 1] 2638->2640 2641 age <= -0.559 gini = 0.444 samples = 3 value = [2, 1] 2640->2641 2644 gini = 0.0 samples = 17 value = [17, 0] 2640->2644 2642 gini = 0.0 samples = 1 value = [0, 1] 2641->2642 2643 gini = 0.0 samples = 2 value = [2, 0] 2641->2643 2646 duration <= 0.143 gini = 0.19 samples = 47 value = [42, 5] 2645->2646 2657 duration <= -0.014 gini = 0.375 samples = 4 value = [1, 3] 2645->2657 2647 age <= 1.277 gini = 0.095 samples = 40 value = [38, 2] 2646->2647 2654 campaign <= -0.085 gini = 0.49 samples = 7 value = [4, 3] 2646->2654 2648 duration <= -0.162 gini = 0.05 samples = 39 value = [38, 1] 2647->2648 2653 gini = 0.0 samples = 1 value = [0, 1] 2647->2653 2649 campaign <= -0.247 gini = 0.444 samples = 3 value = [2, 1] 2648->2649 2652 gini = 0.0 samples = 36 value = [36, 0] 2648->2652 2650 gini = 0.0 samples = 2 value = [2, 0] 2649->2650 2651 gini = 0.0 samples = 1 value = [0, 1] 2649->2651 2655 gini = 0.0 samples = 4 value = [4, 0] 2654->2655 2656 gini = 0.0 samples = 3 value = [0, 3] 2654->2656 2658 gini = 0.0 samples = 3 value = [0, 3] 2657->2658 2659 gini = 0.0 samples = 1 value = [1, 0] 2657->2659 2661 poutcome_unknown <= 0.5 gini = 0.444 samples = 3 value = [1, 2] 2660->2661 2664 gini = 0.0 samples = 2 value = [2, 0] 2660->2664 2662 gini = 0.0 samples = 2 value = [0, 2] 2661->2662 2663 gini = 0.0 samples = 1 value = [1, 0] 2661->2663 2666 age <= 1.654 gini = 0.133 samples = 490 value = [455, 35] 2665->2666 2767 duration <= 0.423 gini = 0.444 samples = 9 value = [6, 3] 2665->2767 2667 age <= -0.324 gini = 0.127 samples = 485 value = [452, 33] 2666->2667 2764 job_management <= 0.5 gini = 0.48 samples = 5 value = [3, 2] 2666->2764 2668 balance <= -0.336 gini = 0.171 samples = 276 value = [250, 26] 2667->2668 2737 education_unknown <= 0.5 gini = 0.065 samples = 209 value = [202, 7] 2667->2737 2669 campaign <= 0.56 gini = 0.1 samples = 132 value = [125, 7] 2668->2669 2694 balance <= -0.334 gini = 0.229 samples = 144 value = [125, 19] 2668->2694 2670 balance <= -0.662 gini = 0.064 samples = 120 value = [116, 4] 2669->2670 2687 balance <= -0.444 gini = 0.375 samples = 12 value = [9, 3] 2669->2687 2671 marital_married <= 0.5 gini = 0.444 samples = 3 value = [2, 1] 2670->2671 2674 education_tertiary <= 0.5 gini = 0.05 samples = 117 value = [114, 3] 2670->2674 2672 gini = 0.0 samples = 1 value = [0, 1] 2671->2672 2673 gini = 0.0 samples = 2 value = [2, 0] 2671->2673 2675 gini = 0.0 samples = 81 value = [81, 0] 2674->2675 2676 balance <= -0.44 gini = 0.153 samples = 36 value = [33, 3] 2674->2676 2677 month_apr <= 0.5 gini = 0.32 samples = 15 value = [12, 3] 2676->2677 2686 gini = 0.0 samples = 21 value = [21, 0] 2676->2686 2678 age <= -1.077 gini = 0.153 samples = 12 value = [11, 1] 2677->2678 2683 week of the month_firstweek <= 0.5 gini = 0.444 samples = 3 value = [1, 2] 2677->2683 2679 week of the month_firstweek <= 0.5 gini = 0.444 samples = 3 value = [2, 1] 2678->2679 2682 gini = 0.0 samples = 9 value = [9, 0] 2678->2682 2680 gini = 0.0 samples = 2 value = [2, 0] 2679->2680 2681 gini = 0.0 samples = 1 value = [0, 1] 2679->2681 2684 gini = 0.0 samples = 2 value = [0, 2] 2683->2684 2685 gini = 0.0 samples = 1 value = [1, 0] 2683->2685 2688 marital_married <= 0.5 gini = 0.5 samples = 6 value = [3, 3] 2687->2688 2693 gini = 0.0 samples = 6 value = [6, 0] 2687->2693 2689 duration <= 0.553 gini = 0.375 samples = 4 value = [1, 3] 2688->2689 2692 gini = 0.0 samples = 2 value = [2, 0] 2688->2692 2690 gini = 0.0 samples = 3 value = [0, 3] 2689->2690 2691 gini = 0.0 samples = 1 value = [1, 0] 2689->2691 2695 gini = 0.0 samples = 2 value = [0, 2] 2694->2695 2696 week of the month_thirdweek <= 0.5 gini = 0.211 samples = 142 value = [125, 17] 2694->2696 2697 duration <= 0.477 gini = 0.299 samples = 71 value = [58, 13] 2696->2697 2722 loan_no <= 0.5 gini = 0.106 samples = 71 value = [67, 4] 2696->2722 2698 balance <= -0.213 gini = 0.219 samples = 56 value = [49, 7] 2697->2698 2713 job_self-employed <= 0.5 gini = 0.48 samples = 15 value = [9, 6] 2697->2713 2699 month_apr <= 0.5 gini = 0.351 samples = 22 value = [17, 5] 2698->2699 2708 balance <= 0.819 gini = 0.111 samples = 34 value = [32, 2] 2698->2708 2700 campaign <= -0.085 gini = 0.255 samples = 20 value = [17, 3] 2699->2700 2707 gini = 0.0 samples = 2 value = [0, 2] 2699->2707 2701 gini = 0.0 samples = 13 value = [13, 0] 2700->2701 2702 marital_married <= 0.5 gini = 0.49 samples = 7 value = [4, 3] 2700->2702 2703 job_technician <= 0.5 gini = 0.32 samples = 5 value = [4, 1] 2702->2703 2706 gini = 0.0 samples = 2 value = [0, 2] 2702->2706 2704 gini = 0.0 samples = 4 value = [4, 0] 2703->2704 2705 gini = 0.0 samples = 1 value = [0, 1] 2703->2705 2709 gini = 0.0 samples = 28 value = [28, 0] 2708->2709 2710 balance <= 1.151 gini = 0.444 samples = 6 value = [4, 2] 2708->2710 2711 gini = 0.0 samples = 2 value = [0, 2] 2710->2711 2712 gini = 0.0 samples = 4 value = [4, 0] 2710->2712 2714 campaign <= -0.085 gini = 0.426 samples = 13 value = [9, 4] 2713->2714 2721 gini = 0.0 samples = 2 value = [0, 2] 2713->2721 2715 age <= -0.889 gini = 0.298 samples = 11 value = [9, 2] 2714->2715 2720 gini = 0.0 samples = 2 value = [0, 2] 2714->2720 2716 duration <= 0.545 gini = 0.48 samples = 5 value = [3, 2] 2715->2716 2719 gini = 0.0 samples = 6 value = [6, 0] 2715->2719 2717 gini = 0.0 samples = 2 value = [0, 2] 2716->2717 2718 gini = 0.0 samples = 3 value = [3, 0] 2716->2718 2723 poutcome_other <= 0.5 gini = 0.397 samples = 11 value = [8, 3] 2722->2723 2730 age <= -1.077 gini = 0.033 samples = 60 value = [59, 1] 2722->2730 2724 month_may <= 0.5 gini = 0.32 samples = 10 value = [8, 2] 2723->2724 2729 gini = 0.0 samples = 1 value = [0, 1] 2723->2729 2725 gini = 0.0 samples = 6 value = [6, 0] 2724->2725 2726 job_blue-collar <= 0.5 gini = 0.5 samples = 4 value = [2, 2] 2724->2726 2727 gini = 0.0 samples = 2 value = [2, 0] 2726->2727 2728 gini = 0.0 samples = 2 value = [0, 2] 2726->2728 2731 education_tertiary <= 0.5 gini = 0.198 samples = 9 value = [8, 1] 2730->2731 2736 gini = 0.0 samples = 51 value = [51, 0] 2730->2736 2732 gini = 0.0 samples = 7 value = [7, 0] 2731->2732 2733 duration <= 0.427 gini = 0.5 samples = 2 value = [1, 1] 2731->2733 2734 gini = 0.0 samples = 1 value = [1, 0] 2733->2734 2735 gini = 0.0 samples = 1 value = [0, 1] 2733->2735 2738 month_feb <= 0.5 gini = 0.049 samples = 201 value = [196, 5] 2737->2738 2759 age <= 0.241 gini = 0.375 samples = 8 value = [6, 2] 2737->2759 2739 week of the month_forthweek <= 0.5 gini = 0.033 samples = 181 value = [178, 3] 2738->2739 2754 week of the month_firstweek <= 0.5 gini = 0.18 samples = 20 value = [18, 2] 2738->2754 2740 duration <= 0.351 gini = 0.012 samples = 159 value = [158, 1] 2739->2740 2747 month_apr <= 0.5 gini = 0.165 samples = 22 value = [20, 2] 2739->2747 2741 campaign <= -0.085 gini = 0.087 samples = 22 value = [21, 1] 2740->2741 2746 gini = 0.0 samples = 137 value = [137, 0] 2740->2746 2742 gini = 0.0 samples = 18 value = [18, 0] 2741->2742 2743 job_blue-collar <= 0.5 gini = 0.375 samples = 4 value = [3, 1] 2741->2743 2744 gini = 0.0 samples = 3 value = [3, 0] 2743->2744 2745 gini = 0.0 samples = 1 value = [0, 1] 2743->2745 2748 job_services <= 0.5 gini = 0.091 samples = 21 value = [20, 1] 2747->2748 2753 gini = 0.0 samples = 1 value = [0, 1] 2747->2753 2749 gini = 0.0 samples = 19 value = [19, 0] 2748->2749 2750 month_jul <= 0.5 gini = 0.5 samples = 2 value = [1, 1] 2748->2750 2751 gini = 0.0 samples = 1 value = [1, 0] 2750->2751 2752 gini = 0.0 samples = 1 value = [0, 1] 2750->2752 2755 job_services <= 0.5 gini = 0.444 samples = 3 value = [1, 2] 2754->2755 2758 gini = 0.0 samples = 17 value = [17, 0] 2754->2758 2756 gini = 0.0 samples = 2 value = [0, 2] 2755->2756 2757 gini = 0.0 samples = 1 value = [1, 0] 2755->2757 2760 gini = 0.0 samples = 5 value = [5, 0] 2759->2760 2761 duration <= 0.46 gini = 0.444 samples = 3 value = [1, 2] 2759->2761 2762 gini = 0.0 samples = 2 value = [0, 2] 2761->2762 2763 gini = 0.0 samples = 1 value = [1, 0] 2761->2763 2765 gini = 0.0 samples = 3 value = [3, 0] 2764->2765 2766 gini = 0.0 samples = 2 value = [0, 2] 2764->2766 2768 month_apr <= 0.5 gini = 0.278 samples = 6 value = [5, 1] 2767->2768 2771 week of the month_thirdweek <= 0.5 gini = 0.444 samples = 3 value = [1, 2] 2767->2771 2769 gini = 0.0 samples = 5 value = [5, 0] 2768->2769 2770 gini = 0.0 samples = 1 value = [0, 1] 2768->2770 2772 gini = 0.0 samples = 2 value = [0, 2] 2771->2772 2773 gini = 0.0 samples = 1 value = [1, 0] 2771->2773 2775 loan_yes <= 0.5 gini = 0.457 samples = 17 value = [6, 11] 2774->2775 2784 age <= -1.124 gini = 0.104 samples = 145 value = [137, 8] 2774->2784 2776 contact_telephone <= 0.5 gini = 0.337 samples = 14 value = [3, 11] 2775->2776 2783 gini = 0.0 samples = 3 value = [3, 0] 2775->2783 2777 job_technician <= 0.5 gini = 0.26 samples = 13 value = [2, 11] 2776->2777 2782 gini = 0.0 samples = 1 value = [1, 0] 2776->2782 2778 duration <= 0.452 gini = 0.153 samples = 12 value = [1, 11] 2777->2778 2781 gini = 0.0 samples = 1 value = [1, 0] 2777->2781 2779 gini = 0.0 samples = 11 value = [0, 11] 2778->2779 2780 gini = 0.0 samples = 1 value = [1, 0] 2778->2780 2785 gini = 0.0 samples = 1 value = [0, 1] 2784->2785 2786 age <= 0.995 gini = 0.092 samples = 144 value = [137, 7] 2784->2786 2787 campaign <= -0.408 gini = 0.059 samples = 131 value = [127, 4] 2786->2787 2804 week of the month_firstweek <= 0.5 gini = 0.355 samples = 13 value = [10, 3] 2786->2804 2788 duration <= -0.162 gini = 0.219 samples = 16 value = [14, 2] 2787->2788 2795 marital_single <= 0.5 gini = 0.034 samples = 115 value = [113, 2] 2787->2795 2789 gini = 0.0 samples = 1 value = [0, 1] 2788->2789 2790 balance <= 0.223 gini = 0.124 samples = 15 value = [14, 1] 2788->2790 2791 gini = 0.0 samples = 12 value = [12, 0] 2790->2791 2792 marital_married <= 0.5 gini = 0.444 samples = 3 value = [2, 1] 2790->2792 2793 gini = 0.0 samples = 2 value = [2, 0] 2792->2793 2794 gini = 0.0 samples = 1 value = [0, 1] 2792->2794 2796 gini = 0.0 samples = 88 value = [88, 0] 2795->2796 2797 balance <= -0.004 gini = 0.137 samples = 27 value = [25, 2] 2795->2797 2798 gini = 0.0 samples = 17 value = [17, 0] 2797->2798 2799 balance <= 0.19 gini = 0.32 samples = 10 value = [8, 2] 2797->2799 2800 gini = 0.0 samples = 1 value = [0, 1] 2799->2800 2801 age <= -0.229 gini = 0.198 samples = 9 value = [8, 1] 2799->2801 2802 gini = 0.0 samples = 8 value = [8, 0] 2801->2802 2803 gini = 0.0 samples = 1 value = [0, 1] 2801->2803 2805 gini = 0.0 samples = 8 value = [8, 0] 2804->2805 2806 balance <= -0.108 gini = 0.48 samples = 5 value = [2, 3] 2804->2806 2807 gini = 0.0 samples = 2 value = [0, 2] 2806->2807 2808 duration <= -0.146 gini = 0.444 samples = 3 value = [2, 1] 2806->2808 2809 gini = 0.0 samples = 1 value = [0, 1] 2808->2809 2810 gini = 0.0 samples = 2 value = [2, 0] 2808->2810 2812 age <= -0.794 gini = 0.492 samples = 32 value = [18, 14] 2811->2812 2833 gini = 0.0 samples = 3 value = [0, 3] 2811->2833 2813 marital_single <= 0.5 gini = 0.245 samples = 7 value = [6, 1] 2812->2813 2818 duration <= 0.5 gini = 0.499 samples = 25 value = [12, 13] 2812->2818 2814 gini = 0.0 samples = 4 value = [4, 0] 2813->2814 2815 poutcome_failure <= 0.5 gini = 0.444 samples = 3 value = [2, 1] 2813->2815 2816 gini = 0.0 samples = 2 value = [2, 0] 2815->2816 2817 gini = 0.0 samples = 1 value = [0, 1] 2815->2817 2819 duration <= 0.201 gini = 0.491 samples = 23 value = [10, 13] 2818->2819 2832 gini = 0.0 samples = 2 value = [2, 0] 2818->2832 2820 duration <= 0.1 gini = 0.5 samples = 20 value = [10, 10] 2819->2820 2831 gini = 0.0 samples = 3 value = [0, 3] 2819->2831 2821 job_technician <= 0.5 gini = 0.484 samples = 17 value = [7, 10] 2820->2821 2830 gini = 0.0 samples = 3 value = [3, 0] 2820->2830 2822 marital_married <= 0.5 gini = 0.375 samples = 12 value = [3, 9] 2821->2822 2827 balance <= -0.315 gini = 0.32 samples = 5 value = [4, 1] 2821->2827 2823 gini = 0.0 samples = 2 value = [2, 0] 2822->2823 2824 age <= 1.23 gini = 0.18 samples = 10 value = [1, 9] 2822->2824 2825 gini = 0.0 samples = 9 value = [0, 9] 2824->2825 2826 gini = 0.0 samples = 1 value = [1, 0] 2824->2826 2828 gini = 0.0 samples = 1 value = [0, 1] 2827->2828 2829 gini = 0.0 samples = 4 value = [4, 0] 2827->2829 2835 month_nov <= 0.5 gini = 0.004 samples = 1841 value = [1837, 4] 2834->2835 2856 gini = 0.0 samples = 1 value = [0, 1] 2834->2856 2836 age <= -1.642 gini = 0.003 samples = 1836 value = [1833, 3] 2835->2836 2853 week of the month_thirdweek <= 0.5 gini = 0.32 samples = 5 value = [4, 1] 2835->2853 2837 duration <= 0.529 gini = 0.105 samples = 18 value = [17, 1] 2836->2837 2840 job_management <= 0.5 gini = 0.002 samples = 1818 value = [1816, 2] 2836->2840 2838 gini = 0.0 samples = 17 value = [17, 0] 2837->2838 2839 gini = 0.0 samples = 1 value = [0, 1] 2837->2839 2841 gini = 0.0 samples = 1552 value = [1552, 0] 2840->2841 2842 age <= -1.36 gini = 0.015 samples = 266 value = [264, 2] 2840->2842 2843 week of the month_forthweek <= 0.5 gini = 0.375 samples = 4 value = [3, 1] 2842->2843 2846 duration <= -0.107 gini = 0.008 samples = 262 value = [261, 1] 2842->2846 2844 gini = 0.0 samples = 3 value = [3, 0] 2843->2844 2845 gini = 0.0 samples = 1 value = [0, 1] 2843->2845 2847 duration <= -0.111 gini = 0.038 samples = 52 value = [51, 1] 2846->2847 2852 gini = 0.0 samples = 210 value = [210, 0] 2846->2852 2848 gini = 0.0 samples = 50 value = [50, 0] 2847->2848 2849 age <= 0.1 gini = 0.5 samples = 2 value = [1, 1] 2847->2849 2850 gini = 0.0 samples = 1 value = [0, 1] 2849->2850 2851 gini = 0.0 samples = 1 value = [1, 0] 2849->2851 2854 gini = 0.0 samples = 1 value = [0, 1] 2853->2854 2855 gini = 0.0 samples = 4 value = [4, 0] 2853->2855 2858 gini = 0.0 samples = 4 value = [0, 4] 2857->2858 2859 gini = 0.0 samples = 1 value = [1, 0] 2857->2859 2861 campaign <= -0.408 gini = 0.444 samples = 6 value = [4, 2] 2860->2861 2866 gini = 0.0 samples = 6 value = [0, 6] 2860->2866 2862 gini = 0.0 samples = 3 value = [3, 0] 2861->2862 2863 balance <= 0.088 gini = 0.444 samples = 3 value = [1, 2] 2861->2863 2864 gini = 0.0 samples = 2 value = [0, 2] 2863->2864 2865 gini = 0.0 samples = 1 value = [1, 0] 2863->2865 2868 duration <= 1.011 gini = 0.126 samples = 430 value = [401, 29] 2867->2868 2959 month_jun <= 0.5 gini = 0.263 samples = 571 value = [482, 89] 2867->2959 2869 age <= 2.549 gini = 0.115 samples = 425 value = [399, 26] 2868->2869 2956 job_technician <= 0.5 gini = 0.48 samples = 5 value = [2, 3] 2868->2956 2870 month_aug <= 0.5 gini = 0.111 samples = 424 value = [399, 25] 2869->2870 2955 gini = 0.0 samples = 1 value = [0, 1] 2869->2955 2871 month_jun <= 0.5 gini = 0.107 samples = 423 value = [399, 24] 2870->2871 2954 gini = 0.0 samples = 1 value = [0, 1] 2870->2954 2872 marital_divorced <= 0.5 gini = 0.081 samples = 355 value = [340, 15] 2871->2872 2929 age <= -1.548 gini = 0.23 samples = 68 value = [59, 9] 2871->2929 2873 education_unknown <= 0.5 gini = 0.062 samples = 312 value = [302, 10] 2872->2873 2910 job_entrepreneur <= 0.5 gini = 0.206 samples = 43 value = [38, 5] 2872->2910 2874 age <= -0.889 gini = 0.052 samples = 299 value = [291, 8] 2873->2874 2903 duration <= 0.986 gini = 0.26 samples = 13 value = [11, 2] 2873->2903 2875 age <= -1.077 gini = 0.104 samples = 91 value = [86, 5] 2874->2875 2890 campaign <= 0.56 gini = 0.028 samples = 208 value = [205, 3] 2874->2890 2876 duration <= 0.96 gini = 0.031 samples = 63 value = [62, 1] 2875->2876 2881 default_no <= 0.5 gini = 0.245 samples = 28 value = [24, 4] 2875->2881 2877 gini = 0.0 samples = 59 value = [59, 0] 2876->2877 2878 age <= -1.454 gini = 0.375 samples = 4 value = [3, 1] 2876->2878 2879 gini = 0.0 samples = 3 value = [3, 0] 2878->2879 2880 gini = 0.0 samples = 1 value = [0, 1] 2878->2880 2882 gini = 0.0 samples = 1 value = [0, 1] 2881->2882 2883 education_tertiary <= 0.5 gini = 0.198 samples = 27 value = [24, 3] 2881->2883 2884 gini = 0.0 samples = 20 value = [20, 0] 2883->2884 2885 job_technician <= 0.5 gini = 0.49 samples = 7 value = [4, 3] 2883->2885 2886 balance <= -0.2 gini = 0.32 samples = 5 value = [4, 1] 2885->2886 2889 gini = 0.0 samples = 2 value = [0, 2] 2885->2889 2887 gini = 0.0 samples = 4 value = [4, 0] 2886->2887 2888 gini = 0.0 samples = 1 value = [0, 1] 2886->2888 2891 balance <= 0.958 gini = 0.011 samples = 188 value = [187, 1] 2890->2891 2896 month_may <= 0.5 gini = 0.18 samples = 20 value = [18, 2] 2890->2896 2892 gini = 0.0 samples = 170 value = [170, 0] 2891->2892 2893 balance <= 1.011 gini = 0.105 samples = 18 value = [17, 1] 2891->2893 2894 gini = 0.0 samples = 1 value = [0, 1] 2893->2894 2895 gini = 0.0 samples = 17 value = [17, 0] 2893->2895 2897 gini = 0.0 samples = 1 value = [0, 1] 2896->2897 2898 education_primary <= 0.5 gini = 0.1 samples = 19 value = [18, 1] 2896->2898 2899 gini = 0.0 samples = 16 value = [16, 0] 2898->2899 2900 age <= 0.665 gini = 0.444 samples = 3 value = [2, 1] 2898->2900 2901 gini = 0.0 samples = 1 value = [0, 1] 2900->2901 2902 gini = 0.0 samples = 2 value = [2, 0] 2900->2902 2904 duration <= 0.848 gini = 0.153 samples = 12 value = [11, 1] 2903->2904 2909 gini = 0.0 samples = 1 value = [0, 1] 2903->2909 2905 gini = 0.0 samples = 9 value = [9, 0] 2904->2905 2906 balance <= -0.318 gini = 0.444 samples = 3 value = [2, 1] 2904->2906 2907 gini = 0.0 samples = 1 value = [0, 1] 2906->2907 2908 gini = 0.0 samples = 2 value = [2, 0] 2906->2908 2911 job_admin. <= 0.5 gini = 0.172 samples = 42 value = [38, 4] 2910->2911 2928 gini = 0.0 samples = 1 value = [0, 1] 2910->2928 2912 education_primary <= 0.5 gini = 0.059 samples = 33 value = [32, 1] 2911->2912 2917 age <= -1.171 gini = 0.444 samples = 9 value = [6, 3] 2911->2917 2913 gini = 0.0 samples = 31 value = [31, 0] 2912->2913 2914 job_technician <= 0.5 gini = 0.5 samples = 2 value = [1, 1] 2912->2914 2915 gini = 0.0 samples = 1 value = [1, 0] 2914->2915 2916 gini = 0.0 samples = 1 value = [0, 1] 2914->2916 2918 gini = 0.0 samples = 1 value = [0, 1] 2917->2918 2919 balance <= -0.36 gini = 0.375 samples = 8 value = [6, 2] 2917->2919 2920 balance <= -0.408 gini = 0.48 samples = 5 value = [3, 2] 2919->2920 2927 gini = 0.0 samples = 3 value = [3, 0] 2919->2927 2921 gini = 0.0 samples = 2 value = [2, 0] 2920->2921 2922 loan_yes <= 0.5 gini = 0.444 samples = 3 value = [1, 2] 2920->2922 2923 duration <= 0.702 gini = 0.5 samples = 2 value = [1, 1] 2922->2923 2926 gini = 0.0 samples = 1 value = [0, 1] 2922->2926 2924 gini = 0.0 samples = 1 value = [0, 1] 2923->2924 2925 gini = 0.0 samples = 1 value = [1, 0] 2923->2925 2930 gini = 0.0 samples = 1 value = [0, 1] 2929->2930 2931 contact_telephone <= 0.5 gini = 0.21 samples = 67 value = [59, 8] 2929->2931 2932 campaign <= 0.238 gini = 0.19 samples = 66 value = [59, 7] 2931->2932 2953 gini = 0.0 samples = 1 value = [0, 1] 2931->2953 2933 job_housemaid <= 0.5 gini = 0.103 samples = 55 value = [52, 3] 2932->2933 2946 job_technician <= 0.5 gini = 0.463 samples = 11 value = [7, 4] 2932->2946 2934 balance <= 1.275 gini = 0.073 samples = 53 value = [51, 2] 2933->2934 2943 week of the month_firstweek <= 0.5 gini = 0.5 samples = 2 value = [1, 1] 2933->2943 2935 job_services <= 0.5 gini = 0.04 samples = 49 value = [48, 1] 2934->2935 2940 week of the month_thirdweek <= 0.5 gini = 0.375 samples = 4 value = [3, 1] 2934->2940 2936 gini = 0.0 samples = 44 value = [44, 0] 2935->2936 2937 campaign <= -0.085 gini = 0.32 samples = 5 value = [4, 1] 2935->2937 2938 gini = 0.0 samples = 4 value = [4, 0] 2937->2938 2939 gini = 0.0 samples = 1 value = [0, 1] 2937->2939 2941 gini = 0.0 samples = 3 value = [3, 0] 2940->2941 2942 gini = 0.0 samples = 1 value = [0, 1] 2940->2942 2944 gini = 0.0 samples = 1 value = [1, 0] 2943->2944 2945 gini = 0.0 samples = 1 value = [0, 1] 2943->2945 2947 balance <= -0.508 gini = 0.346 samples = 9 value = [7, 2] 2946->2947 2952 gini = 0.0 samples = 2 value = [0, 2] 2946->2952 2948 gini = 0.0 samples = 1 value = [0, 1] 2947->2948 2949 balance <= 0.506 gini = 0.219 samples = 8 value = [7, 1] 2947->2949 2950 gini = 0.0 samples = 7 value = [7, 0] 2949->2950 2951 gini = 0.0 samples = 1 value = [0, 1] 2949->2951 2957 gini = 0.0 samples = 3 value = [0, 3] 2956->2957 2958 gini = 0.0 samples = 2 value = [2, 0] 2956->2958 2960 age <= 1.654 gini = 0.254 samples = 563 value = [479, 84] 2959->2960 3163 age <= -0.606 gini = 0.469 samples = 8 value = [3, 5] 2959->3163 2961 age <= -1.783 gini = 0.246 samples = 557 value = [477, 80] 2960->2961 3160 balance <= 0.737 gini = 0.444 samples = 6 value = [2, 4] 2960->3160 2962 gini = 0.0 samples = 2 value = [0, 2] 2961->2962 2963 marital_single <= 0.5 gini = 0.242 samples = 555 value = [477, 78] 2961->2963 2964 balance <= -0.697 gini = 0.195 samples = 375 value = [334, 41] 2963->2964 3075 month_nov <= 0.5 gini = 0.327 samples = 180 value = [143, 37] 2963->3075 2965 default_no <= 0.5 gini = 0.444 samples = 3 value = [1, 2] 2964->2965 2968 duration <= 0.665 gini = 0.188 samples = 372 value = [333, 39] 2964->2968 2966 gini = 0.0 samples = 1 value = [1, 0] 2965->2966 2967 gini = 0.0 samples = 2 value = [0, 2] 2965->2967 2969 poutcome_other <= 0.5 gini = 0.043 samples = 91 value = [89, 2] 2968->2969 2974 balance <= -0.434 gini = 0.229 samples = 281 value = [244, 37] 2968->2974 2970 gini = 0.0 samples = 84 value = [84, 0] 2969->2970 2971 age <= 0.336 gini = 0.408 samples = 7 value = [5, 2] 2969->2971 2972 gini = 0.0 samples = 5 value = [5, 0] 2971->2972 2973 gini = 0.0 samples = 2 value = [0, 2] 2971->2973 2975 default_yes <= 0.5 gini = 0.086 samples = 67 value = [64, 3] 2974->2975 2988 balance <= -0.431 gini = 0.267 samples = 214 value = [180, 34] 2974->2988 2976 age <= -1.454 gini = 0.06 samples = 65 value = [63, 2] 2975->2976 2985 week of the month_thirdweek <= 0.5 gini = 0.5 samples = 2 value = [1, 1] 2975->2985 2977 age <= -1.548 gini = 0.5 samples = 2 value = [1, 1] 2976->2977 2980 age <= 0.712 gini = 0.031 samples = 63 value = [62, 1] 2976->2980 2978 gini = 0.0 samples = 1 value = [1, 0] 2977->2978 2979 gini = 0.0 samples = 1 value = [0, 1] 2977->2979 2981 gini = 0.0 samples = 52 value = [52, 0] 2980->2981 2982 week of the month_firstweek <= 0.5 gini = 0.165 samples = 11 value = [10, 1] 2980->2982 2983 gini = 0.0 samples = 10 value = [10, 0] 2982->2983 2984 gini = 0.0 samples = 1 value = [0, 1] 2982->2984 2986 gini = 0.0 samples = 1 value = [1, 0] 2985->2986 2987 gini = 0.0 samples = 1 value = [0, 1] 2985->2987 2989 gini = 0.0 samples = 2 value = [0, 2] 2988->2989 2990 age <= 0.806 gini = 0.256 samples = 212 value = [180, 32] 2988->2990 2991 balance <= 4.019 gini = 0.285 samples = 186 value = [154, 32] 2990->2991 3074 gini = 0.0 samples = 26 value = [26, 0] 2990->3074 2992 month_apr <= 0.5 gini = 0.279 samples = 185 value = [154, 31] 2991->2992 3073 gini = 0.0 samples = 1 value = [0, 1] 2991->3073 2993 poutcome_failure <= 0.5 gini = 0.313 samples = 149 value = [120, 29] 2992->2993 3064 education_unknown <= 0.5 gini = 0.105 samples = 36 value = [34, 2] 2992->3064 2994 education_unknown <= 0.5 gini = 0.276 samples = 121 value = [101, 20] 2993->2994 3047 month_feb <= 0.5 gini = 0.436 samples = 28 value = [19, 9] 2993->3047 2995 balance <= -0.292 gini = 0.257 samples = 119 value = [101, 18] 2994->2995 3046 gini = 0.0 samples = 2 value = [0, 2] 2994->3046 2996 job_services <= 0.5 gini = 0.375 samples = 40 value = [30, 10] 2995->2996 3017 age <= -0.889 gini = 0.182 samples = 79 value = [71, 8] 2995->3017 2997 duration <= 0.941 gini = 0.291 samples = 34 value = [28, 6] 2996->2997 3014 balance <= -0.379 gini = 0.444 samples = 6 value = [2, 4] 2996->3014 2998 campaign <= 0.722 gini = 0.225 samples = 31 value = [27, 4] 2997->2998 3011 balance <= -0.322 gini = 0.444 samples = 3 value = [1, 2] 2997->3011 2999 duration <= 0.722 gini = 0.18 samples = 30 value = [27, 3] 2998->2999 3010 gini = 0.0 samples = 1 value = [0, 1] 2998->3010 3000 age <= -0.324 gini = 0.48 samples = 5 value = [3, 2] 2999->3000 3005 job_admin. <= 0.5 gini = 0.077 samples = 25 value = [24, 1] 2999->3005 3001 gini = 0.0 samples = 2 value = [2, 0] 3000->3001 3002 education_secondary <= 0.5 gini = 0.444 samples = 3 value = [1, 2] 3000->3002 3003 gini = 0.0 samples = 2 value = [0, 2] 3002->3003 3004 gini = 0.0 samples = 1 value = [1, 0] 3002->3004 3006 gini = 0.0 samples = 20 value = [20, 0] 3005->3006 3007 education_tertiary <= 0.5 gini = 0.32 samples = 5 value = [4, 1] 3005->3007 3008 gini = 0.0 samples = 4 value = [4, 0] 3007->3008 3009 gini = 0.0 samples = 1 value = [0, 1] 3007->3009 3012 gini = 0.0 samples = 2 value = [0, 2] 3011->3012 3013 gini = 0.0 samples = 1 value = [1, 0] 3011->3013 3015 gini = 0.0 samples = 2 value = [2, 0] 3014->3015 3016 gini = 0.0 samples = 4 value = [0, 4] 3014->3016 3018 job_entrepreneur <= 0.5 gini = 0.375 samples = 16 value = [12, 4] 3017->3018 3031 campaign <= -0.408 gini = 0.119 samples = 63 value = [59, 4] 3017->3031 3019 marital_married <= 0.5 gini = 0.32 samples = 15 value = [12, 3] 3018->3019 3030 gini = 0.0 samples = 1 value = [0, 1] 3018->3030 3020 gini = 0.0 samples = 1 value = [0, 1] 3019->3020 3021 job_management <= 0.5 gini = 0.245 samples = 14 value = [12, 2] 3019->3021 3022 job_technician <= 0.5 gini = 0.142 samples = 13 value = [12, 1] 3021->3022 3029 gini = 0.0 samples = 1 value = [0, 1] 3021->3029 3023 gini = 0.0 samples = 10 value = [10, 0] 3022->3023 3024 month_jul <= 0.5 gini = 0.444 samples = 3 value = [2, 1] 3022->3024 3025 gini = 0.0 samples = 1 value = [1, 0] 3024->3025 3026 week of the month_thirdweek <= 0.5 gini = 0.5 samples = 2 value = [1, 1] 3024->3026 3027 gini = 0.0 samples = 1 value = [0, 1] 3026->3027 3028 gini = 0.0 samples = 1 value = [1, 0] 3026->3028 3032 month_aug <= 0.5 gini = 0.308 samples = 21 value = [17, 4] 3031->3032 3045 gini = 0.0 samples = 42 value = [42, 0] 3031->3045 3033 job_self-employed <= 0.5 gini = 0.255 samples = 20 value = [17, 3] 3032->3033 3044 gini = 0.0 samples = 1 value = [0, 1] 3032->3044 3034 week of the month_firstweek <= 0.5 gini = 0.188 samples = 19 value = [17, 2] 3033->3034 3043 gini = 0.0 samples = 1 value = [0, 1] 3033->3043 3035 balance <= 0.476 gini = 0.111 samples = 17 value = [16, 1] 3034->3035 3040 job_services <= 0.5 gini = 0.5 samples = 2 value = [1, 1] 3034->3040 3036 gini = 0.0 samples = 11 value = [11, 0] 3035->3036 3037 balance <= 0.627 gini = 0.278 samples = 6 value = [5, 1] 3035->3037 3038 gini = 0.0 samples = 1 value = [0, 1] 3037->3038 3039 gini = 0.0 samples = 5 value = [5, 0] 3037->3039 3041 gini = 0.0 samples = 1 value = [0, 1] 3040->3041 3042 gini = 0.0 samples = 1 value = [1, 0] 3040->3042 3048 job_services <= 0.5 gini = 0.393 samples = 26 value = [19, 7] 3047->3048 3063 gini = 0.0 samples = 2 value = [0, 2] 3047->3063 3049 job_admin. <= 0.5 gini = 0.365 samples = 25 value = [19, 6] 3048->3049 3062 gini = 0.0 samples = 1 value = [0, 1] 3048->3062 3050 age <= 0.712 gini = 0.298 samples = 22 value = [18, 4] 3049->3050 3059 month_may <= 0.5 gini = 0.444 samples = 3 value = [1, 2] 3049->3059 3051 education_tertiary <= 0.5 gini = 0.245 samples = 21 value = [18, 3] 3050->3051 3058 gini = 0.0 samples = 1 value = [0, 1] 3050->3058 3052 gini = 0.0 samples = 13 value = [13, 0] 3051->3052 3053 age <= -0.277 gini = 0.469 samples = 8 value = [5, 3] 3051->3053 3054 age <= -0.7 gini = 0.48 samples = 5 value = [2, 3] 3053->3054 3057 gini = 0.0 samples = 3 value = [3, 0] 3053->3057 3055 gini = 0.0 samples = 2 value = [2, 0] 3054->3055 3056 gini = 0.0 samples = 3 value = [0, 3] 3054->3056 3060 gini = 0.0 samples = 1 value = [1, 0] 3059->3060 3061 gini = 0.0 samples = 2 value = [0, 2] 3059->3061 3065 age <= 0.147 gini = 0.057 samples = 34 value = [33, 1] 3064->3065 3070 job_services <= 0.5 gini = 0.5 samples = 2 value = [1, 1] 3064->3070 3066 gini = 0.0 samples = 28 value = [28, 0] 3065->3066 3067 age <= 0.241 gini = 0.278 samples = 6 value = [5, 1] 3065->3067 3068 gini = 0.0 samples = 1 value = [0, 1] 3067->3068 3069 gini = 0.0 samples = 5 value = [5, 0] 3067->3069 3071 gini = 0.0 samples = 1 value = [0, 1] 3070->3071 3072 gini = 0.0 samples = 1 value = [1, 0] 3070->3072 3076 duration <= 0.615 gini = 0.3 samples = 169 value = [138, 31] 3075->3076 3153 campaign <= -0.408 gini = 0.496 samples = 11 value = [5, 6] 3075->3153 3077 month_feb <= 0.5 gini = 0.472 samples = 21 value = [13, 8] 3076->3077 3090 month_may <= 0.5 gini = 0.263 samples = 148 value = [125, 23] 3076->3090 3078 poutcome_other <= 0.5 gini = 0.401 samples = 18 value = [13, 5] 3077->3078 3089 gini = 0.0 samples = 3 value = [0, 3] 3077->3089 3079 loan_yes <= 0.5 gini = 0.305 samples = 16 value = [13, 3] 3078->3079 3088 gini = 0.0 samples = 2 value = [0, 2] 3078->3088 3080 education_unknown <= 0.5 gini = 0.231 samples = 15 value = [13, 2] 3079->3080 3087 gini = 0.0 samples = 1 value = [0, 1] 3079->3087 3081 week of the month_forthweek <= 0.5 gini = 0.133 samples = 14 value = [13, 1] 3080->3081 3086 gini = 0.0 samples = 1 value = [0, 1] 3080->3086 3082 gini = 0.0 samples = 12 value = [12, 0] 3081->3082 3083 job_management <= 0.5 gini = 0.5 samples = 2 value = [1, 1] 3081->3083 3084 gini = 0.0 samples = 1 value = [0, 1] 3083->3084 3085 gini = 0.0 samples = 1 value = [1, 0] 3083->3085 3091 default_yes <= 0.5 gini = 0.142 samples = 78 value = [72, 6] 3090->3091 3110 campaign <= -0.408 gini = 0.368 samples = 70 value = [53, 17] 3090->3110 3092 balance <= 7.363 gini = 0.121 samples = 77 value = [72, 5] 3091->3092 3109 gini = 0.0 samples = 1 value = [0, 1] 3091->3109 3093 job_technician <= 0.5 gini = 0.1 samples = 76 value = [72, 4] 3092->3093 3108 gini = 0.0 samples = 1 value = [0, 1] 3092->3108 3094 age <= -1.171 gini = 0.035 samples = 56 value = [55, 1] 3093->3094 3101 duration <= 0.974 gini = 0.255 samples = 20 value = [17, 3] 3093->3101 3095 balance <= -0.447 gini = 0.198 samples = 9 value = [8, 1] 3094->3095 3100 gini = 0.0 samples = 47 value = [47, 0] 3094->3100 3096 job_self-employed <= 0.5 gini = 0.5 samples = 2 value = [1, 1] 3095->3096 3099 gini = 0.0 samples = 7 value = [7, 0] 3095->3099 3097 gini = 0.0 samples = 1 value = [0, 1] 3096->3097 3098 gini = 0.0 samples = 1 value = [1, 0] 3096->3098 3102 poutcome_failure <= 0.5 gini = 0.105 samples = 18 value = [17, 1] 3101->3102 3107 gini = 0.0 samples = 2 value = [0, 2] 3101->3107 3103 gini = 0.0 samples = 15 value = [15, 0] 3102->3103 3104 balance <= -0.277 gini = 0.444 samples = 3 value = [2, 1] 3102->3104 3105 gini = 0.0 samples = 2 value = [2, 0] 3104->3105 3106 gini = 0.0 samples = 1 value = [0, 1] 3104->3106 3111 job_self-employed <= 0.5 gini = 0.451 samples = 35 value = [23, 12] 3110->3111 3136 balance <= -0.144 gini = 0.245 samples = 35 value = [30, 5] 3110->3136 3112 duration <= 0.916 gini = 0.422 samples = 33 value = [23, 10] 3111->3112 3135 gini = 0.0 samples = 2 value = [0, 2] 3111->3135 3113 age <= -1.548 gini = 0.476 samples = 23 value = [14, 9] 3112->3113 3130 balance <= -0.379 gini = 0.18 samples = 10 value = [9, 1] 3112->3130 3114 gini = 0.0 samples = 2 value = [0, 2] 3113->3114 3115 poutcome_failure <= 0.5 gini = 0.444 samples = 21 value = [14, 7] 3113->3115 3116 job_admin. <= 0.5 gini = 0.337 samples = 14 value = [11, 3] 3115->3116 3125 age <= -0.512 gini = 0.49 samples = 7 value = [3, 4] 3115->3125 3117 age <= -1.171 gini = 0.165 samples = 11 value = [10, 1] 3116->3117 3122 balance <= -0.39 gini = 0.444 samples = 3 value = [1, 2] 3116->3122 3118 job_management <= 0.5 gini = 0.444 samples = 3 value = [2, 1] 3117->3118 3121 gini = 0.0 samples = 8 value = [8, 0] 3117->3121 3119 gini = 0.0 samples = 2 value = [2, 0] 3118->3119 3120 gini = 0.0 samples = 1 value = [0, 1] 3118->3120 3123 gini = 0.0 samples = 1 value = [1, 0] 3122->3123 3124 gini = 0.0 samples = 2 value = [0, 2] 3122->3124 3126 gini = 0.0 samples = 3 value = [0, 3] 3125->3126 3127 duration <= 0.72 gini = 0.375 samples = 4 value = [3, 1] 3125->3127 3128 gini = 0.0 samples = 3 value = [3, 0] 3127->3128 3129 gini = 0.0 samples = 1 value = [0, 1] 3127->3129 3131 gini = 0.0 samples = 6 value = [6, 0] 3130->3131 3132 balance <= -0.357 gini = 0.375 samples = 4 value = [3, 1] 3130->3132 3133 gini = 0.0 samples = 1 value = [0, 1] 3132->3133 3134 gini = 0.0 samples = 3 value = [3, 0] 3132->3134 3137 balance <= -0.181 gini = 0.351 samples = 22 value = [17, 5] 3136->3137 3152 gini = 0.0 samples = 13 value = [13, 0] 3136->3152 3138 balance <= -0.409 gini = 0.308 samples = 21 value = [17, 4] 3137->3138 3151 gini = 0.0 samples = 1 value = [0, 1] 3137->3151 3139 education_tertiary <= 0.5 gini = 0.153 samples = 12 value = [11, 1] 3138->3139 3144 duration <= 0.836 gini = 0.444 samples = 9 value = [6, 3] 3138->3144 3140 gini = 0.0 samples = 9 value = [9, 0] 3139->3140 3141 job_technician <= 0.5 gini = 0.444 samples = 3 value = [2, 1] 3139->3141 3142 gini = 0.0 samples = 2 value = [2, 0] 3141->3142 3143 gini = 0.0 samples = 1 value = [0, 1] 3141->3143 3145 campaign <= -0.085 gini = 0.245 samples = 7 value = [6, 1] 3144->3145 3150 gini = 0.0 samples = 2 value = [0, 2] 3144->3150 3146 gini = 0.0 samples = 5 value = [5, 0] 3145->3146 3147 poutcome_unknown <= 0.5 gini = 0.5 samples = 2 value = [1, 1] 3145->3147 3148 gini = 0.0 samples = 1 value = [0, 1] 3147->3148 3149 gini = 0.0 samples = 1 value = [1, 0] 3147->3149 3154 gini = 0.0 samples = 5 value = [0, 5] 3153->3154 3155 poutcome_unknown <= 0.5 gini = 0.278 samples = 6 value = [5, 1] 3153->3155 3156 balance <= -0.394 gini = 0.5 samples = 2 value = [1, 1] 3155->3156 3159 gini = 0.0 samples = 4 value = [4, 0] 3155->3159 3157 gini = 0.0 samples = 1 value = [0, 1] 3156->3157 3158 gini = 0.0 samples = 1 value = [1, 0] 3156->3158 3161 gini = 0.0 samples = 4 value = [0, 4] 3160->3161 3162 gini = 0.0 samples = 2 value = [2, 0] 3160->3162 3164 gini = 0.0 samples = 3 value = [0, 3] 3163->3164 3165 education_secondary <= 0.5 gini = 0.48 samples = 5 value = [3, 2] 3163->3165 3166 gini = 0.0 samples = 3 value = [3, 0] 3165->3166 3167 gini = 0.0 samples = 2 value = [0, 2] 3165->3167 3169 age <= -0.794 gini = 0.397 samples = 11 value = [8, 3] 3168->3169 3174 loan_no <= 0.5 gini = 0.153 samples = 12 value = [1, 11] 3168->3174 3170 marital_single <= 0.5 gini = 0.48 samples = 5 value = [2, 3] 3169->3170 3173 gini = 0.0 samples = 6 value = [6, 0] 3169->3173 3171 gini = 0.0 samples = 3 value = [0, 3] 3170->3171 3172 gini = 0.0 samples = 2 value = [2, 0] 3170->3172 3175 duration <= 0.001 gini = 0.5 samples = 2 value = [1, 1] 3174->3175 3178 gini = 0.0 samples = 10 value = [0, 10] 3174->3178 3176 gini = 0.0 samples = 1 value = [0, 1] 3175->3176 3177 gini = 0.0 samples = 1 value = [1, 0] 3175->3177 3180 gini = 0.0 samples = 9 value = [0, 9] 3179->3180 3181 gini = 0.0 samples = 1 value = [1, 0] 3179->3181 3183 duration <= 0.331 gini = 0.473 samples = 13 value = [8, 5] 3182->3183 3190 age <= 1.889 gini = 0.165 samples = 11 value = [1, 10] 3182->3190 3184 duration <= -0.109 gini = 0.219 samples = 8 value = [7, 1] 3183->3184 3187 week of the month_secondweek <= 0.5 gini = 0.32 samples = 5 value = [1, 4] 3183->3187 3185 gini = 0.0 samples = 1 value = [0, 1] 3184->3185 3186 gini = 0.0 samples = 7 value = [7, 0] 3184->3186 3188 gini = 0.0 samples = 4 value = [0, 4] 3187->3188 3189 gini = 0.0 samples = 1 value = [1, 0] 3187->3189 3191 gini = 0.0 samples = 10 value = [0, 10] 3190->3191 3192 gini = 0.0 samples = 1 value = [1, 0] 3190->3192 3194 duration <= -0.692 gini = 0.395 samples = 199 value = [145, 54] 3193->3194 3277 housing_yes <= 0.5 gini = 0.391 samples = 720 value = [192, 528] 3193->3277 3195 balance <= 4.388 gini = 0.145 samples = 51 value = [47, 4] 3194->3195 3212 balance <= 5.046 gini = 0.447 samples = 148 value = [98, 50] 3194->3212 3196 month_jul <= 0.5 gini = 0.113 samples = 50 value = [47, 3] 3195->3196 3211 gini = 0.0 samples = 1 value = [0, 1] 3195->3211 3197 month_feb <= 0.5 gini = 0.081 samples = 47 value = [45, 2] 3196->3197 3208 education_secondary <= 0.5 gini = 0.444 samples = 3 value = [2, 1] 3196->3208 3198 job_admin. <= 0.5 gini = 0.044 samples = 44 value = [43, 1] 3197->3198 3205 balance <= -0.125 gini = 0.444 samples = 3 value = [2, 1] 3197->3205 3199 gini = 0.0 samples = 38 value = [38, 0] 3198->3199 3200 month_aug <= 0.5 gini = 0.278 samples = 6 value = [5, 1] 3198->3200 3201 gini = 0.0 samples = 4 value = [4, 0] 3200->3201 3202 balance <= 0.173 gini = 0.5 samples = 2 value = [1, 1] 3200->3202 3203 gini = 0.0 samples = 1 value = [0, 1] 3202->3203 3204 gini = 0.0 samples = 1 value = [1, 0] 3202->3204 3206 gini = 0.0 samples = 2 value = [2, 0] 3205->3206 3207 gini = 0.0 samples = 1 value = [0, 1] 3205->3207 3209 gini = 0.0 samples = 2 value = [2, 0] 3208->3209 3210 gini = 0.0 samples = 1 value = [0, 1] 3208->3210 3213 job_housemaid <= 0.5 gini = 0.438 samples = 145 value = [98, 47] 3212->3213 3276 gini = 0.0 samples = 3 value = [0, 3] 3212->3276 3214 duration <= -0.643 gini = 0.423 samples = 138 value = [96, 42] 3213->3214 3271 education_tertiary <= 0.5 gini = 0.408 samples = 7 value = [2, 5] 3213->3271 3215 education_tertiary <= 0.5 gini = 0.499 samples = 19 value = [9, 10] 3214->3215 3226 age <= -0.324 gini = 0.393 samples = 119 value = [87, 32] 3214->3226 3216 age <= -0.559 gini = 0.444 samples = 12 value = [8, 4] 3215->3216 3223 job_entrepreneur <= 0.5 gini = 0.245 samples = 7 value = [1, 6] 3215->3223 3217 duration <= -0.67 gini = 0.49 samples = 7 value = [3, 4] 3216->3217 3222 gini = 0.0 samples = 5 value = [5, 0] 3216->3222 3218 gini = 0.0 samples = 3 value = [0, 3] 3217->3218 3219 marital_married <= 0.5 gini = 0.375 samples = 4 value = [3, 1] 3217->3219 3220 gini = 0.0 samples = 3 value = [3, 0] 3219->3220 3221 gini = 0.0 samples = 1 value = [0, 1] 3219->3221 3224 gini = 0.0 samples = 6 value = [0, 6] 3223->3224 3225 gini = 0.0 samples = 1 value = [1, 0] 3223->3225 3227 job_blue-collar <= 0.5 gini = 0.299 samples = 60 value = [49, 11] 3226->3227 3246 duration <= -0.601 gini = 0.458 samples = 59 value = [38, 21] 3226->3246 3228 duration <= -0.445 gini = 0.249 samples = 55 value = [47, 8] 3227->3228 3243 balance <= -0.36 gini = 0.48 samples = 5 value = [2, 3] 3227->3243 3229 week of the month_forthweek <= 0.5 gini = 0.204 samples = 52 value = [46, 6] 3228->3229 3240 job_technician <= 0.5 gini = 0.444 samples = 3 value = [1, 2] 3228->3240 3230 balance <= -0.37 gini = 0.091 samples = 42 value = [40, 2] 3229->3230 3237 age <= -0.983 gini = 0.48 samples = 10 value = [6, 4] 3229->3237 3231 balance <= -0.403 gini = 0.408 samples = 7 value = [5, 2] 3230->3231 3236 gini = 0.0 samples = 35 value = [35, 0] 3230->3236 3232 gini = 0.0 samples = 4 value = [4, 0] 3231->3232 3233 job_management <= 0.5 gini = 0.444 samples = 3 value = [1, 2] 3231->3233 3234 gini = 0.0 samples = 2 value = [0, 2] 3233->3234 3235 gini = 0.0 samples = 1 value = [1, 0] 3233->3235 3238 gini = 0.0 samples = 4 value = [0, 4] 3237->3238 3239 gini = 0.0 samples = 6 value = [6, 0] 3237->3239 3241 gini = 0.0 samples = 2 value = [0, 2] 3240->3241 3242 gini = 0.0 samples = 1 value = [1, 0] 3240->3242 3244 gini = 0.0 samples = 2 value = [2, 0] 3243->3244 3245 gini = 0.0 samples = 3 value = [0, 3] 3243->3245 3247 campaign <= -0.085 gini = 0.42 samples = 10 value = [3, 7] 3246->3247 3252 month_aug <= 0.5 gini = 0.408 samples = 49 value = [35, 14] 3246->3252 3248 gini = 0.0 samples = 6 value = [0, 6] 3247->3248 3249 month_feb <= 0.5 gini = 0.375 samples = 4 value = [3, 1] 3247->3249 3250 gini = 0.0 samples = 3 value = [3, 0] 3249->3250 3251 gini = 0.0 samples = 1 value = [0, 1] 3249->3251 3253 month_sep <= 0.5 gini = 0.307 samples = 37 value = [30, 7] 3252->3253 3266 job_technician <= 0.5 gini = 0.486 samples = 12 value = [5, 7] 3252->3266 3254 duration <= -0.488 gini = 0.225 samples = 31 value = [27, 4] 3253->3254 3261 week of the month_thirdweek <= 0.5 gini = 0.5 samples = 6 value = [3, 3] 3253->3261 3255 gini = 0.0 samples = 21 value = [21, 0] 3254->3255 3256 balance <= -0.238 gini = 0.48 samples = 10 value = [6, 4] 3254->3256 3257 gini = 0.0 samples = 3 value = [0, 3] 3256->3257 3258 week of the month_secondweek <= 0.5 gini = 0.245 samples = 7 value = [6, 1] 3256->3258 3259 gini = 0.0 samples = 6 value = [6, 0] 3258->3259 3260 gini = 0.0 samples = 1 value = [0, 1] 3258->3260 3262 housing_no <= 0.5 gini = 0.375 samples = 4 value = [3, 1] 3261->3262 3265 gini = 0.0 samples = 2 value = [0, 2] 3261->3265 3263 gini = 0.0 samples = 1 value = [0, 1] 3262->3263 3264 gini = 0.0 samples = 3 value = [3, 0] 3262->3264 3267 gini = 0.0 samples = 6 value = [0, 6] 3266->3267 3268 week of the month_firstweek <= 0.5 gini = 0.278 samples = 6 value = [5, 1] 3266->3268 3269 gini = 0.0 samples = 5 value = [5, 0] 3268->3269 3270 gini = 0.0 samples = 1 value = [0, 1] 3268->3270 3272 month_aug <= 0.5 gini = 0.444 samples = 3 value = [2, 1] 3271->3272 3275 gini = 0.0 samples = 4 value = [0, 4] 3271->3275 3273 gini = 0.0 samples = 2 value = [2, 0] 3272->3273 3274 gini = 0.0 samples = 1 value = [0, 1] 3272->3274 3278 duration <= -0.371 gini = 0.333 samples = 508 value = [107, 401] 3277->3278 3491 month_may <= 0.5 gini = 0.48 samples = 212 value = [85, 127] 3277->3491 3279 duration <= -0.406 gini = 0.497 samples = 37 value = [17, 20] 3278->3279 3302 campaign <= 0.56 gini = 0.309 samples = 471 value = [90, 381] 3278->3302 3280 age <= -1.218 gini = 0.346 samples = 18 value = [4, 14] 3279->3280 3289 education_secondary <= 0.5 gini = 0.432 samples = 19 value = [13, 6] 3279->3289 3281 month_feb <= 0.5 gini = 0.375 samples = 4 value = [3, 1] 3280->3281 3284 month_aug <= 0.5 gini = 0.133 samples = 14 value = [1, 13] 3280->3284 3282 gini = 0.0 samples = 3 value = [3, 0] 3281->3282 3283 gini = 0.0 samples = 1 value = [0, 1] 3281->3283 3285 gini = 0.0 samples = 12 value = [0, 12] 3284->3285 3286 balance <= -0.081 gini = 0.5 samples = 2 value = [1, 1] 3284->3286 3287 gini = 0.0 samples = 1 value = [1, 0] 3286->3287 3288 gini = 0.0 samples = 1 value = [0, 1] 3286->3288 3290 month_dec <= 0.5 gini = 0.26 samples = 13 value = [11, 2] 3289->3290 3297 week of the month_forthweek <= 0.5 gini = 0.444 samples = 6 value = [2, 4] 3289->3297 3291 month_aug <= 0.5 gini = 0.153 samples = 12 value = [11, 1] 3290->3291 3296 gini = 0.0 samples = 1 value = [0, 1] 3290->3296 3292 gini = 0.0 samples = 9 value = [9, 0] 3291->3292 3293 balance <= -0.11 gini = 0.444 samples = 3 value = [2, 1] 3291->3293 3294 gini = 0.0 samples = 1 value = [0, 1] 3293->3294 3295 gini = 0.0 samples = 2 value = [2, 0] 3293->3295 3298 contact_cellular <= 0.5 gini = 0.32 samples = 5 value = [1, 4] 3297->3298 3301 gini = 0.0 samples = 1 value = [1, 0] 3297->3301 3299 gini = 0.0 samples = 1 value = [1, 0] 3298->3299 3300 gini = 0.0 samples = 4 value = [0, 4] 3298->3300 3303 job_entrepreneur <= 0.5 gini = 0.299 samples = 454 value = [83, 371] 3302->3303 3482 duration <= -0.1 gini = 0.484 samples = 17 value = [7, 10] 3302->3482 3304 age <= -0.794 gini = 0.293 samples = 449 value = [80, 369] 3303->3304 3479 duration <= -0.069 gini = 0.48 samples = 5 value = [3, 2] 3303->3479 3305 job_blue-collar <= 0.5 gini = 0.366 samples = 137 value = [33, 104] 3304->3305 3368 duration <= 0.968 gini = 0.256 samples = 312 value = [47, 265] 3304->3368 3306 week of the month_thirdweek <= 0.5 gini = 0.387 samples = 126 value = [33, 93] 3305->3306 3367 gini = 0.0 samples = 11 value = [0, 11] 3305->3367 3307 campaign <= 0.238 gini = 0.35 samples = 106 value = [24, 82] 3306->3307 3358 marital_single <= 0.5 gini = 0.495 samples = 20 value = [9, 11] 3306->3358 3308 duration <= -0.282 gini = 0.336 samples = 103 value = [22, 81] 3307->3308 3355 age <= -1.124 gini = 0.444 samples = 3 value = [2, 1] 3307->3355 3309 gini = 0.0 samples = 12 value = [0, 12] 3308->3309 3310 duration <= -0.257 gini = 0.367 samples = 91 value = [22, 69] 3308->3310 3311 gini = 0.0 samples = 2 value = [2, 0] 3310->3311 3312 month_may <= 0.5 gini = 0.348 samples = 89 value = [20, 69] 3310->3312 3313 age <= -0.889 gini = 0.32 samples = 80 value = [16, 64] 3312->3313 3348 balance <= -0.33 gini = 0.494 samples = 9 value = [4, 5] 3312->3348 3314 month_jul <= 0.5 gini = 0.29 samples = 74 value = [13, 61] 3313->3314 3345 duration <= 0.248 gini = 0.5 samples = 6 value = [3, 3] 3313->3345 3315 month_jan <= 0.5 gini = 0.254 samples = 67 value = [10, 57] 3314->3315 3340 balance <= -0.301 gini = 0.49 samples = 7 value = [3, 4] 3314->3340 3316 balance <= 0.077 gini = 0.225 samples = 62 value = [8, 54] 3315->3316 3337 education_secondary <= 0.5 gini = 0.48 samples = 5 value = [2, 3] 3315->3337 3317 education_primary <= 0.5 gini = 0.156 samples = 47 value = [4, 43] 3316->3317 3332 balance <= 0.284 gini = 0.391 samples = 15 value = [4, 11] 3316->3332 3318 duration <= 0.432 gini = 0.124 samples = 45 value = [3, 42] 3317->3318 3329 age <= -1.877 gini = 0.5 samples = 2 value = [1, 1] 3317->3329 3319 month_nov <= 0.5 gini = 0.053 samples = 37 value = [1, 36] 3318->3319 3324 marital_single <= 0.5 gini = 0.375 samples = 8 value = [2, 6] 3318->3324 3320 gini = 0.0 samples = 34 value = [0, 34] 3319->3320 3321 job_management <= 0.5 gini = 0.444 samples = 3 value = [1, 2] 3319->3321 3322 gini = 0.0 samples = 2 value = [0, 2] 3321->3322 3323 gini = 0.0 samples = 1 value = [1, 0] 3321->3323 3325 gini = 0.0 samples = 1 value = [1, 0] 3324->3325 3326 campaign <= -0.247 gini = 0.245 samples = 7 value = [1, 6] 3324->3326 3327 gini = 0.0 samples = 6 value = [0, 6] 3326->3327 3328 gini = 0.0 samples = 1 value = [1, 0] 3326->3328 3330 gini = 0.0 samples = 1 value = [0, 1] 3329->3330 3331 gini = 0.0 samples = 1 value = [1, 0] 3329->3331 3333 job_student <= 0.5 gini = 0.32 samples = 5 value = [4, 1] 3332->3333 3336 gini = 0.0 samples = 10 value = [0, 10] 3332->3336 3334 gini = 0.0 samples = 4 value = [4, 0] 3333->3334 3335 gini = 0.0 samples = 1 value = [0, 1] 3333->3335 3338 gini = 0.0 samples = 3 value = [0, 3] 3337->3338 3339 gini = 0.0 samples = 2 value = [2, 0] 3337->3339 3341 gini = 0.0 samples = 3 value = [0, 3] 3340->3341 3342 week of the month_forthweek <= 0.5 gini = 0.375 samples = 4 value = [3, 1] 3340->3342 3343 gini = 0.0 samples = 3 value = [3, 0] 3342->3343 3344 gini = 0.0 samples = 1 value = [0, 1] 3342->3344 3346 gini = 0.0 samples = 3 value = [0, 3] 3345->3346 3347 gini = 0.0 samples = 3 value = [3, 0] 3345->3347 3349 balance <= -0.424 gini = 0.375 samples = 4 value = [3, 1] 3348->3349 3352 balance <= 2.632 gini = 0.32 samples = 5 value = [1, 4] 3348->3352 3350 gini = 0.0 samples = 1 value = [0, 1] 3349->3350 3351 gini = 0.0 samples = 3 value = [3, 0] 3349->3351 3353 gini = 0.0 samples = 4 value = [0, 4] 3352->3353 3354 gini = 0.0 samples = 1 value = [1, 0] 3352->3354 3356 gini = 0.0 samples = 2 value = [2, 0] 3355->3356 3357 gini = 0.0 samples = 1 value = [0, 1] 3355->3357 3359 gini = 0.0 samples = 4 value = [4, 0] 3358->3359 3360 balance <= -0.332 gini = 0.43 samples = 16 value = [5, 11] 3358->3360 3361 gini = 0.0 samples = 3 value = [3, 0] 3360->3361 3362 balance <= 0.408 gini = 0.26 samples = 13 value = [2, 11] 3360->3362 3363 gini = 0.0 samples = 10 value = [0, 10] 3362->3363 3364 age <= -1.124 gini = 0.444 samples = 3 value = [2, 1] 3362->3364 3365 gini = 0.0 samples = 2 value = [2, 0] 3364->3365 3366 gini = 0.0 samples = 1 value = [0, 1] 3364->3366 3369 campaign <= -0.085 gini = 0.249 samples = 309 value = [45, 264] 3368->3369 3476 contact_cellular <= 0.5 gini = 0.444 samples = 3 value = [2, 1] 3368->3476 3370 duration <= 0.549 gini = 0.273 samples = 264 value = [43, 221] 3369->3370 3465 month_nov <= 0.5 gini = 0.085 samples = 45 value = [2, 43] 3369->3465 3371 age <= -0.229 gini = 0.301 samples = 217 value = [40, 177] 3370->3371 3456 loan_yes <= 0.5 gini = 0.12 samples = 47 value = [3, 44] 3370->3456 3372 duration <= 0.506 gini = 0.17 samples = 64 value = [6, 58] 3371->3372 3389 age <= 0.053 gini = 0.346 samples = 153 value = [34, 119] 3371->3389 3373 duration <= -0.315 gini = 0.146 samples = 63 value = [5, 58] 3372->3373 3388 gini = 0.0 samples = 1 value = [1, 0] 3372->3388 3374 job_management <= 0.5 gini = 0.444 samples = 6 value = [2, 4] 3373->3374 3377 job_blue-collar <= 0.5 gini = 0.1 samples = 57 value = [3, 54] 3373->3377 3375 gini = 0.0 samples = 4 value = [0, 4] 3374->3375 3376 gini = 0.0 samples = 2 value = [2, 0] 3374->3376 3378 balance <= 0.449 gini = 0.071 samples = 54 value = [2, 52] 3377->3378 3385 balance <= -0.33 gini = 0.444 samples = 3 value = [1, 2] 3377->3385 3379 gini = 0.0 samples = 43 value = [0, 43] 3378->3379 3380 balance <= 0.857 gini = 0.298 samples = 11 value = [2, 9] 3378->3380 3381 duration <= 0.021 gini = 0.5 samples = 4 value = [2, 2] 3380->3381 3384 gini = 0.0 samples = 7 value = [0, 7] 3380->3384 3382 gini = 0.0 samples = 2 value = [0, 2] 3381->3382 3383 gini = 0.0 samples = 2 value = [2, 0] 3381->3383 3386 gini = 0.0 samples = 1 value = [1, 0] 3385->3386 3387 gini = 0.0 samples = 2 value = [0, 2] 3385->3387 3390 balance <= -0.282 gini = 0.494 samples = 9 value = [5, 4] 3389->3390 3395 marital_single <= 0.5 gini = 0.322 samples = 144 value = [29, 115] 3389->3395 3391 gini = 0.0 samples = 3 value = [0, 3] 3390->3391 3392 job_unemployed <= 0.5 gini = 0.278 samples = 6 value = [5, 1] 3390->3392 3393 gini = 0.0 samples = 5 value = [5, 0] 3392->3393 3394 gini = 0.0 samples = 1 value = [0, 1] 3392->3394 3396 campaign <= -0.408 gini = 0.294 samples = 134 value = [24, 110] 3395->3396 3449 education_secondary <= 0.5 gini = 0.5 samples = 10 value = [5, 5] 3395->3449 3397 week of the month_firstweek <= 0.5 gini = 0.219 samples = 88 value = [11, 77] 3396->3397 3428 age <= 3.02 gini = 0.405 samples = 46 value = [13, 33] 3396->3428 3398 job_self-employed <= 0.5 gini = 0.149 samples = 74 value = [6, 68] 3397->3398 3421 education_secondary <= 0.5 gini = 0.459 samples = 14 value = [5, 9] 3397->3421 3399 month_may <= 0.5 gini = 0.129 samples = 72 value = [5, 67] 3398->3399 3418 age <= 1.842 gini = 0.5 samples = 2 value = [1, 1] 3398->3418 3400 job_admin. <= 0.5 gini = 0.089 samples = 64 value = [3, 61] 3399->3400 3413 duration <= -0.012 gini = 0.375 samples = 8 value = [2, 6] 3399->3413 3401 month_sep <= 0.5 gini = 0.036 samples = 54 value = [1, 53] 3400->3401 3408 marital_divorced <= 0.5 gini = 0.32 samples = 10 value = [2, 8] 3400->3408 3402 gini = 0.0 samples = 47 value = [0, 47] 3401->3402 3403 week of the month_thirdweek <= 0.5 gini = 0.245 samples = 7 value = [1, 6] 3401->3403 3404 gini = 0.0 samples = 5 value = [0, 5] 3403->3404 3405 job_management <= 0.5 gini = 0.5 samples = 2 value = [1, 1] 3403->3405 3406 gini = 0.0 samples = 1 value = [0, 1] 3405->3406 3407 gini = 0.0 samples = 1 value = [1, 0] 3405->3407 3409 duration <= 0.234 gini = 0.198 samples = 9 value = [1, 8] 3408->3409 3412 gini = 0.0 samples = 1 value = [1, 0] 3408->3412 3410 gini = 0.0 samples = 8 value = [0, 8] 3409->3410 3411 gini = 0.0 samples = 1 value = [1, 0] 3409->3411 3414 job_management <= 0.5 gini = 0.444 samples = 3 value = [2, 1] 3413->3414 3417 gini = 0.0 samples = 5 value = [0, 5] 3413->3417 3415 gini = 0.0 samples = 2 value = [2, 0] 3414->3415 3416 gini = 0.0 samples = 1 value = [0, 1] 3414->3416 3419 gini = 0.0 samples = 1 value = [1, 0] 3418->3419 3420 gini = 0.0 samples = 1 value = [0, 1] 3418->3420 3422 duration <= 0.498 gini = 0.32 samples = 5 value = [4, 1] 3421->3422 3425 month_may <= 0.5 gini = 0.198 samples = 9 value = [1, 8] 3421->3425 3423 gini = 0.0 samples = 4 value = [4, 0] 3422->3423 3424 gini = 0.0 samples = 1 value = [0, 1] 3422->3424 3426 gini = 0.0 samples = 8 value = [0, 8] 3425->3426 3427 gini = 0.0 samples = 1 value = [1, 0] 3425->3427 3429 month_jan <= 0.5 gini = 0.301 samples = 38 value = [7, 31] 3428->3429 3446 week of the month_thirdweek <= 0.5 gini = 0.375 samples = 8 value = [6, 2] 3428->3446 3430 duration <= 0.533 gini = 0.239 samples = 36 value = [5, 31] 3429->3430 3445 gini = 0.0 samples = 2 value = [2, 0] 3429->3445 3431 month_oct <= 0.5 gini = 0.202 samples = 35 value = [4, 31] 3430->3431 3444 gini = 0.0 samples = 1 value = [1, 0] 3430->3444 3432 month_mar <= 0.5 gini = 0.124 samples = 30 value = [2, 28] 3431->3432 3441 age <= 1.842 gini = 0.48 samples = 5 value = [2, 3] 3431->3441 3433 job_blue-collar <= 0.5 gini = 0.069 samples = 28 value = [1, 27] 3432->3433 3438 week of the month_forthweek <= 0.5 gini = 0.5 samples = 2 value = [1, 1] 3432->3438 3434 gini = 0.0 samples = 26 value = [0, 26] 3433->3434 3435 duration <= 0.162 gini = 0.5 samples = 2 value = [1, 1] 3433->3435 3436 gini = 0.0 samples = 1 value = [1, 0] 3435->3436 3437 gini = 0.0 samples = 1 value = [0, 1] 3435->3437 3439 gini = 0.0 samples = 1 value = [1, 0] 3438->3439 3440 gini = 0.0 samples = 1 value = [0, 1] 3438->3440 3442 gini = 0.0 samples = 3 value = [0, 3] 3441->3442 3443 gini = 0.0 samples = 2 value = [2, 0] 3441->3443 3447 gini = 0.0 samples = 6 value = [6, 0] 3446->3447 3448 gini = 0.0 samples = 2 value = [0, 2] 3446->3448 3450 job_unemployed <= 0.5 gini = 0.408 samples = 7 value = [2, 5] 3449->3450 3455 gini = 0.0 samples = 3 value = [3, 0] 3449->3455 3451 duration <= -0.191 gini = 0.278 samples = 6 value = [1, 5] 3450->3451 3454 gini = 0.0 samples = 1 value = [1, 0] 3450->3454 3452 gini = 0.0 samples = 1 value = [1, 0] 3451->3452 3453 gini = 0.0 samples = 5 value = [0, 5] 3451->3453 3457 month_sep <= 0.5 gini = 0.083 samples = 46 value = [2, 44] 3456->3457 3464 gini = 0.0 samples = 1 value = [1, 0] 3456->3464 3458 gini = 0.0 samples = 38 value = [0, 38] 3457->3458 3459 education_secondary <= 0.5 gini = 0.375 samples = 8 value = [2, 6] 3457->3459 3460 gini = 0.0 samples = 5 value = [0, 5] 3459->3460 3461 duration <= 0.599 gini = 0.444 samples = 3 value = [2, 1] 3459->3461 3462 gini = 0.0 samples = 1 value = [0, 1] 3461->3462 3463 gini = 0.0 samples = 2 value = [2, 0] 3461->3463 3466 duration <= 0.601 gini = 0.046 samples = 42 value = [1, 41] 3465->3466 3471 campaign <= 0.238 gini = 0.444 samples = 3 value = [1, 2] 3465->3471 3467 gini = 0.0 samples = 39 value = [0, 39] 3466->3467 3468 week of the month_firstweek <= 0.5 gini = 0.444 samples = 3 value = [1, 2] 3466->3468 3469 gini = 0.0 samples = 2 value = [0, 2] 3468->3469 3470 gini = 0.0 samples = 1 value = [1, 0] 3468->3470 3472 age <= 0.806 gini = 0.5 samples = 2 value = [1, 1] 3471->3472 3475 gini = 0.0 samples = 1 value = [0, 1] 3471->3475 3473 gini = 0.0 samples = 1 value = [1, 0] 3472->3473 3474 gini = 0.0 samples = 1 value = [0, 1] 3472->3474 3477 gini = 0.0 samples = 1 value = [0, 1] 3476->3477 3478 gini = 0.0 samples = 2 value = [2, 0] 3476->3478 3480 gini = 0.0 samples = 3 value = [3, 0] 3479->3480 3481 gini = 0.0 samples = 2 value = [0, 2] 3479->3481 3483 age <= -0.606 gini = 0.32 samples = 5 value = [4, 1] 3482->3483 3486 balance <= 0.379 gini = 0.375 samples = 12 value = [3, 9] 3482->3486 3484 gini = 0.0 samples = 1 value = [0, 1] 3483->3484 3485 gini = 0.0 samples = 4 value = [4, 0] 3483->3485 3487 job_admin. <= 0.5 gini = 0.18 samples = 10 value = [1, 9] 3486->3487 3490 gini = 0.0 samples = 2 value = [2, 0] 3486->3490 3488 gini = 0.0 samples = 9 value = [0, 9] 3487->3488 3489 gini = 0.0 samples = 1 value = [1, 0] 3487->3489 3492 week of the month_thirdweek <= 0.5 gini = 0.432 samples = 165 value = [52, 113] 3491->3492 3565 age <= -0.324 gini = 0.418 samples = 47 value = [33, 14] 3491->3565 3493 duration <= -0.354 gini = 0.373 samples = 121 value = [30, 91] 3492->3493 3548 balance <= 0.072 gini = 0.5 samples = 44 value = [22, 22] 3492->3548 3494 week of the month_secondweek <= 0.5 gini = 0.498 samples = 15 value = [8, 7] 3493->3494 3501 month_jan <= 0.5 gini = 0.329 samples = 106 value = [22, 84] 3493->3501 3495 duration <= -0.383 gini = 0.375 samples = 8 value = [2, 6] 3494->3495 3498 age <= 1.277 gini = 0.245 samples = 7 value = [6, 1] 3494->3498 3496 gini = 0.0 samples = 6 value = [0, 6] 3495->3496 3497 gini = 0.0 samples = 2 value = [2, 0] 3495->3497 3499 gini = 0.0 samples = 6 value = [6, 0] 3498->3499 3500 gini = 0.0 samples = 1 value = [0, 1] 3498->3500 3502 loan_yes <= 0.5 gini = 0.298 samples = 99 value = [18, 81] 3501->3502 3543 balance <= -0.158 gini = 0.49 samples = 7 value = [4, 3] 3501->3543 3503 month_feb <= 0.5 gini = 0.258 samples = 92 value = [14, 78] 3502->3503 3538 campaign <= -0.408 gini = 0.49 samples = 7 value = [4, 3] 3502->3538 3504 balance <= 1.871 gini = 0.2 samples = 80 value = [9, 71] 3503->3504 3531 week of the month_firstweek <= 0.5 gini = 0.486 samples = 12 value = [5, 7] 3503->3531 3505 job_entrepreneur <= 0.5 gini = 0.182 samples = 79 value = [8, 71] 3504->3505 3530 gini = 0.0 samples = 1 value = [1, 0] 3504->3530 3506 campaign <= -0.408 gini = 0.163 samples = 78 value = [7, 71] 3505->3506 3529 gini = 0.0 samples = 1 value = [1, 0] 3505->3529 3507 month_jul <= 0.5 gini = 0.241 samples = 50 value = [7, 43] 3506->3507 3528 gini = 0.0 samples = 28 value = [0, 28] 3506->3528 3508 balance <= 0.11 gini = 0.215 samples = 49 value = [6, 43] 3507->3508 3527 gini = 0.0 samples = 1 value = [1, 0] 3507->3527 3509 month_apr <= 0.5 gini = 0.1 samples = 38 value = [2, 36] 3508->3509 3518 balance <= 0.146 gini = 0.463 samples = 11 value = [4, 7] 3508->3518 3510 job_blue-collar <= 0.5 gini = 0.057 samples = 34 value = [1, 33] 3509->3510 3515 age <= 0.665 gini = 0.375 samples = 4 value = [1, 3] 3509->3515 3511 gini = 0.0 samples = 27 value = [0, 27] 3510->3511 3512 education_tertiary <= 0.5 gini = 0.245 samples = 7 value = [1, 6] 3510->3512 3513 gini = 0.0 samples = 6 value = [0, 6] 3512->3513 3514 gini = 0.0 samples = 1 value = [1, 0] 3512->3514 3516 gini = 0.0 samples = 3 value = [0, 3] 3515->3516 3517 gini = 0.0 samples = 1 value = [1, 0] 3515->3517 3519 gini = 0.0 samples = 2 value = [2, 0] 3518->3519 3520 job_unemployed <= 0.5 gini = 0.346 samples = 9 value = [2, 7] 3518->3520 3521 month_aug <= 0.5 gini = 0.219 samples = 8 value = [1, 7] 3520->3521 3526 gini = 0.0 samples = 1 value = [1, 0] 3520->3526 3522 gini = 0.0 samples = 6 value = [0, 6] 3521->3522 3523 balance <= 0.26 gini = 0.5 samples = 2 value = [1, 1] 3521->3523 3524 gini = 0.0 samples = 1 value = [0, 1] 3523->3524 3525 gini = 0.0 samples = 1 value = [1, 0] 3523->3525 3532 gini = 0.0 samples = 5 value = [0, 5] 3531->3532 3533 job_technician <= 0.5 gini = 0.408 samples = 7 value = [5, 2] 3531->3533 3534 gini = 0.0 samples = 4 value = [4, 0] 3533->3534 3535 duration <= 0.636 gini = 0.444 samples = 3 value = [1, 2] 3533->3535 3536 gini = 0.0 samples = 2 value = [0, 2] 3535->3536 3537 gini = 0.0 samples = 1 value = [1, 0] 3535->3537 3539 job_technician <= 0.5 gini = 0.375 samples = 4 value = [1, 3] 3538->3539 3542 gini = 0.0 samples = 3 value = [3, 0] 3538->3542 3540 gini = 0.0 samples = 3 value = [0, 3] 3539->3540 3541 gini = 0.0 samples = 1 value = [1, 0] 3539->3541 3544 campaign <= -0.085 gini = 0.32 samples = 5 value = [4, 1] 3543->3544 3547 gini = 0.0 samples = 2 value = [0, 2] 3543->3547 3545 gini = 0.0 samples = 4 value = [4, 0] 3544->3545 3546 gini = 0.0 samples = 1 value = [0, 1] 3544->3546 3549 marital_married <= 0.5 gini = 0.475 samples = 31 value = [12, 19] 3548->3549 3560 balance <= 1.194 gini = 0.355 samples = 13 value = [10, 3] 3548->3560 3550 month_apr <= 0.5 gini = 0.245 samples = 14 value = [2, 12] 3549->3550 3553 age <= 0.053 gini = 0.484 samples = 17 value = [10, 7] 3549->3553 3551 gini = 0.0 samples = 12 value = [0, 12] 3550->3551 3552 gini = 0.0 samples = 2 value = [2, 0] 3550->3552 3554 month_aug <= 0.5 gini = 0.198 samples = 9 value = [8, 1] 3553->3554 3557 duration <= -0.144 gini = 0.375 samples = 8 value = [2, 6] 3553->3557 3555 gini = 0.0 samples = 8 value = [8, 0] 3554->3555 3556 gini = 0.0 samples = 1 value = [0, 1] 3554->3556 3558 gini = 0.0 samples = 2 value = [2, 0] 3557->3558 3559 gini = 0.0 samples = 6 value = [0, 6] 3557->3559 3561 age <= 1.654 gini = 0.165 samples = 11 value = [10, 1] 3560->3561 3564 gini = 0.0 samples = 2 value = [0, 2] 3560->3564 3562 gini = 0.0 samples = 10 value = [10, 0] 3561->3562 3563 gini = 0.0 samples = 1 value = [0, 1] 3561->3563 3566 week of the month_forthweek <= 0.5 gini = 0.26 samples = 26 value = [22, 4] 3565->3566 3577 balance <= 0.179 gini = 0.499 samples = 21 value = [11, 10] 3565->3577 3567 contact_cellular <= 0.5 gini = 0.159 samples = 23 value = [21, 2] 3566->3567 3574 balance <= 1.484 gini = 0.444 samples = 3 value = [1, 2] 3566->3574 3568 gini = 0.0 samples = 1 value = [0, 1] 3567->3568 3569 job_management <= 0.5 gini = 0.087 samples = 22 value = [21, 1] 3567->3569 3570 gini = 0.0 samples = 19 value = [19, 0] 3569->3570 3571 balance <= 0.288 gini = 0.444 samples = 3 value = [2, 1] 3569->3571 3572 gini = 0.0 samples = 2 value = [2, 0] 3571->3572 3573 gini = 0.0 samples = 1 value = [0, 1] 3571->3573 3575 gini = 0.0 samples = 2 value = [0, 2] 3574->3575 3576 gini = 0.0 samples = 1 value = [1, 0] 3574->3576 3578 week of the month_secondweek <= 0.5 gini = 0.494 samples = 18 value = [8, 10] 3577->3578 3591 gini = 0.0 samples = 3 value = [3, 0] 3577->3591 3579 duration <= -0.055 gini = 0.375 samples = 8 value = [2, 6] 3578->3579 3584 marital_married <= 0.5 gini = 0.48 samples = 10 value = [6, 4] 3578->3584 3580 week of the month_thirdweek <= 0.5 gini = 0.444 samples = 3 value = [2, 1] 3579->3580 3583 gini = 0.0 samples = 5 value = [0, 5] 3579->3583 3581 gini = 0.0 samples = 2 value = [2, 0] 3580->3581 3582 gini = 0.0 samples = 1 value = [0, 1] 3580->3582 3585 gini = 0.0 samples = 4 value = [4, 0] 3584->3585 3586 duration <= 0.098 gini = 0.444 samples = 6 value = [2, 4] 3584->3586 3587 gini = 0.0 samples = 1 value = [1, 0] 3586->3587 3588 education_primary <= 0.5 gini = 0.32 samples = 5 value = [1, 4] 3586->3588 3589 gini = 0.0 samples = 4 value = [0, 4] 3588->3589 3590 gini = 0.0 samples = 1 value = [1, 0] 3588->3590 3593 poutcome_success <= 0.5 gini = 0.462 samples = 2167 value = [1382, 785] 3592->3593 4658 contact_unknown <= 0.5 gini = 0.491 samples = 1328 value = [573, 755] 3592->4658 3594 contact_unknown <= 0.5 gini = 0.448 samples = 2065 value = [1365, 700] 3593->3594 4623 balance <= 1.055 gini = 0.278 samples = 102 value = [17, 85] 3593->4623 3595 duration <= 1.457 gini = 0.474 samples = 1486 value = [912, 574] 3594->3595 4390 duration <= 1.473 gini = 0.341 samples = 579 value = [453, 126] 3594->4390 3596 marital_married <= 0.5 gini = 0.443 samples = 789 value = [528, 261] 3595->3596 3987 balance <= -0.524 gini = 0.495 samples = 697 value = [384, 313] 3595->3987 3597 month_mar <= 0.5 gini = 0.48 samples = 332 value = [199, 133] 3596->3597 3778 month_may <= 0.5 gini = 0.403 samples = 457 value = [329, 128] 3596->3778 3598 age <= -0.418 gini = 0.476 samples = 327 value = [199, 128] 3597->3598 3777 gini = 0.0 samples = 5 value = [0, 5] 3597->3777 3599 week of the month_secondweek <= 0.5 gini = 0.492 samples = 208 value = [117, 91] 3598->3599 3708 balance <= -0.327 gini = 0.429 samples = 119 value = [82, 37] 3598->3708 3600 month_jun <= 0.5 gini = 0.471 samples = 166 value = [103, 63] 3599->3600 3685 duration <= 1.393 gini = 0.444 samples = 42 value = [14, 28] 3599->3685 3601 job_student <= 0.5 gini = 0.463 samples = 159 value = [101, 58] 3600->3601 3682 age <= -1.36 gini = 0.408 samples = 7 value = [2, 5] 3600->3682 3602 balance <= -0.311 gini = 0.452 samples = 148 value = [97, 51] 3601->3602 3677 week of the month_firstweek <= 0.5 gini = 0.463 samples = 11 value = [4, 7] 3601->3677 3603 balance <= -0.395 gini = 0.49 samples = 63 value = [36, 27] 3602->3603 3634 education_unknown <= 0.5 gini = 0.405 samples = 85 value = [61, 24] 3602->3634 3604 poutcome_failure <= 0.5 gini = 0.435 samples = 47 value = [32, 15] 3603->3604 3625 job_entrepreneur <= 0.5 gini = 0.375 samples = 16 value = [4, 12] 3603->3625 3605 loan_no <= 0.5 gini = 0.375 samples = 40 value = [30, 10] 3604->3605 3620 education_tertiary <= 0.5 gini = 0.408 samples = 7 value = [2, 5] 3604->3620 3606 balance <= -0.513 gini = 0.49 samples = 7 value = [3, 4] 3605->3606 3611 campaign <= 0.238 gini = 0.298 samples = 33 value = [27, 6] 3605->3611 3607 gini = 0.0 samples = 2 value = [2, 0] 3606->3607 3608 default_no <= 0.5 gini = 0.32 samples = 5 value = [1, 4] 3606->3608 3609 gini = 0.0 samples = 1 value = [1, 0] 3608->3609 3610 gini = 0.0 samples = 4 value = [0, 4] 3608->3610 3612 duration <= 1.395 gini = 0.142 samples = 26 value = [24, 2] 3611->3612 3617 age <= -1.124 gini = 0.49 samples = 7 value = [3, 4] 3611->3617 3613 gini = 0.0 samples = 23 value = [23, 0] 3612->3613 3614 job_admin. <= 0.5 gini = 0.444 samples = 3 value = [1, 2] 3612->3614 3615 gini = 0.0 samples = 2 value = [0, 2] 3614->3615 3616 gini = 0.0 samples = 1 value = [1, 0] 3614->3616 3618 gini = 0.0 samples = 3 value = [3, 0] 3617->3618 3619 gini = 0.0 samples = 4 value = [0, 4] 3617->3619 3621 age <= -1.171 gini = 0.444 samples = 3 value = [2, 1] 3620->3621 3624 gini = 0.0 samples = 4 value = [0, 4] 3620->3624 3622 gini = 0.0 samples = 1 value = [0, 1] 3621->3622 3623 gini = 0.0 samples = 2 value = [2, 0] 3621->3623 3626 education_unknown <= 0.5 gini = 0.26 samples = 13 value = [2, 11] 3625->3626 3631 housing_yes <= 0.5 gini = 0.444 samples = 3 value = [2, 1] 3625->3631 3627 loan_yes <= 0.5 gini = 0.153 samples = 12 value = [1, 11] 3626->3627 3630 gini = 0.0 samples = 1 value = [1, 0] 3626->3630 3628 gini = 0.0 samples = 11 value = [0, 11] 3627->3628 3629 gini = 0.0 samples = 1 value = [1, 0] 3627->3629 3632 gini = 0.0 samples = 1 value = [0, 1] 3631->3632 3633 gini = 0.0 samples = 2 value = [2, 0] 3631->3633 3635 month_oct <= 0.5 gini = 0.39 samples = 83 value = [61, 22] 3634->3635 3676 gini = 0.0 samples = 2 value = [0, 2] 3634->3676 3636 age <= -1.077 gini = 0.381 samples = 82 value = [61, 21] 3635->3636 3675 gini = 0.0 samples = 1 value = [0, 1] 3635->3675 3637 month_aug <= 0.5 gini = 0.172 samples = 21 value = [19, 2] 3636->3637 3644 education_tertiary <= 0.5 gini = 0.429 samples = 61 value = [42, 19] 3636->3644 3638 balance <= -0.269 gini = 0.095 samples = 20 value = [19, 1] 3637->3638 3643 gini = 0.0 samples = 1 value = [0, 1] 3637->3643 3639 housing_no <= 0.5 gini = 0.5 samples = 2 value = [1, 1] 3638->3639 3642 gini = 0.0 samples = 18 value = [18, 0] 3638->3642 3640 gini = 0.0 samples = 1 value = [0, 1] 3639->3640 3641 gini = 0.0 samples = 1 value = [1, 0] 3639->3641 3645 job_admin. <= 0.5 gini = 0.334 samples = 33 value = [26, 7] 3644->3645 3658 duration <= 1.116 gini = 0.49 samples = 28 value = [16, 12] 3644->3658 3646 duration <= 1.428 gini = 0.204 samples = 26 value = [23, 3] 3645->3646 3655 duration <= 1.415 gini = 0.49 samples = 7 value = [3, 4] 3645->3655 3647 duration <= 1.056 gini = 0.083 samples = 23 value = [22, 1] 3646->3647 3652 marital_divorced <= 0.5 gini = 0.444 samples = 3 value = [1, 2] 3646->3652 3648 month_nov <= 0.5 gini = 0.5 samples = 2 value = [1, 1] 3647->3648 3651 gini = 0.0 samples = 21 value = [21, 0] 3647->3651 3649 gini = 0.0 samples = 1 value = [1, 0] 3648->3649 3650 gini = 0.0 samples = 1 value = [0, 1] 3648->3650 3653 gini = 0.0 samples = 2 value = [0, 2] 3652->3653 3654 gini = 0.0 samples = 1 value = [1, 0] 3652->3654 3656 gini = 0.0 samples = 4 value = [0, 4] 3655->3656 3657 gini = 0.0 samples = 3 value = [3, 0] 3655->3657 3659 job_entrepreneur <= 0.5 gini = 0.278 samples = 6 value = [1, 5] 3658->3659 3662 duration <= 1.232 gini = 0.434 samples = 22 value = [15, 7] 3658->3662 3660 gini = 0.0 samples = 5 value = [0, 5] 3659->3660 3661 gini = 0.0 samples = 1 value = [1, 0] 3659->3661 3663 balance <= -0.27 gini = 0.18 samples = 10 value = [9, 1] 3662->3663 3668 duration <= 1.391 gini = 0.5 samples = 12 value = [6, 6] 3662->3668 3664 month_jul <= 0.5 gini = 0.5 samples = 2 value = [1, 1] 3663->3664 3667 gini = 0.0 samples = 8 value = [8, 0] 3663->3667 3665 gini = 0.0 samples = 1 value = [1, 0] 3664->3665 3666 gini = 0.0 samples = 1 value = [0, 1] 3664->3666 3669 campaign <= -0.408 gini = 0.375 samples = 8 value = [2, 6] 3668->3669 3674 gini = 0.0 samples = 4 value = [4, 0] 3668->3674 3670 balance <= 0.125 gini = 0.444 samples = 3 value = [2, 1] 3669->3670 3673 gini = 0.0 samples = 5 value = [0, 5] 3669->3673 3671 gini = 0.0 samples = 2 value = [2, 0] 3670->3671 3672 gini = 0.0 samples = 1 value = [0, 1] 3670->3672 3678 month_nov <= 0.5 gini = 0.219 samples = 8 value = [1, 7] 3677->3678 3681 gini = 0.0 samples = 3 value = [3, 0] 3677->3681 3679 gini = 0.0 samples = 7 value = [0, 7] 3678->3679 3680 gini = 0.0 samples = 1 value = [1, 0] 3678->3680 3683 gini = 0.0 samples = 2 value = [2, 0] 3682->3683 3684 gini = 0.0 samples = 5 value = [0, 5] 3682->3684 3686 duration <= 1.281 gini = 0.475 samples = 36 value = [14, 22] 3685->3686 3707 gini = 0.0 samples = 6 value = [0, 6] 3685->3707 3687 job_student <= 0.5 gini = 0.403 samples = 25 value = [7, 18] 3686->3687 3702 age <= -0.747 gini = 0.463 samples = 11 value = [7, 4] 3686->3702 3688 campaign <= -0.408 gini = 0.34 samples = 23 value = [5, 18] 3687->3688 3701 gini = 0.0 samples = 2 value = [2, 0] 3687->3701 3689 balance <= -0.084 gini = 0.153 samples = 12 value = [1, 11] 3688->3689 3692 balance <= -0.444 gini = 0.463 samples = 11 value = [4, 7] 3688->3692 3690 gini = 0.0 samples = 11 value = [0, 11] 3689->3690 3691 gini = 0.0 samples = 1 value = [1, 0] 3689->3691 3693 gini = 0.0 samples = 2 value = [2, 0] 3692->3693 3694 housing_yes <= 0.5 gini = 0.346 samples = 9 value = [2, 7] 3692->3694 3695 campaign <= 0.238 gini = 0.219 samples = 8 value = [1, 7] 3694->3695 3700 gini = 0.0 samples = 1 value = [1, 0] 3694->3700 3696 gini = 0.0 samples = 6 value = [0, 6] 3695->3696 3697 month_aug <= 0.5 gini = 0.5 samples = 2 value = [1, 1] 3695->3697 3698 gini = 0.0 samples = 1 value = [0, 1] 3697->3698 3699 gini = 0.0 samples = 1 value = [1, 0] 3697->3699 3703 gini = 0.0 samples = 6 value = [6, 0] 3702->3703 3704 job_management <= 0.5 gini = 0.32 samples = 5 value = [1, 4] 3702->3704 3705 gini = 0.0 samples = 4 value = [0, 4] 3704->3705 3706 gini = 0.0 samples = 1 value = [1, 0] 3704->3706 3709 age <= 1.654 gini = 0.486 samples = 48 value = [28, 20] 3708->3709 3742 balance <= 0.047 gini = 0.364 samples = 71 value = [54, 17] 3708->3742 3710 job_unemployed <= 0.5 gini = 0.454 samples = 43 value = [28, 15] 3709->3710 3741 gini = 0.0 samples = 5 value = [0, 5] 3709->3741 3711 balance <= -0.353 gini = 0.426 samples = 39 value = [27, 12] 3710->3711 3738 duration <= 1.137 gini = 0.375 samples = 4 value = [1, 3] 3710->3738 3712 job_self-employed <= 0.5 gini = 0.382 samples = 35 value = [26, 9] 3711->3712 3735 education_tertiary <= 0.5 gini = 0.375 samples = 4 value = [1, 3] 3711->3735 3713 month_sep <= 0.5 gini = 0.36 samples = 34 value = [26, 8] 3712->3713 3734 gini = 0.0 samples = 1 value = [0, 1] 3712->3734 3714 month_may <= 0.5 gini = 0.334 samples = 33 value = [26, 7] 3713->3714 3733 gini = 0.0 samples = 1 value = [0, 1] 3713->3733 3715 age <= 0.336 gini = 0.219 samples = 24 value = [21, 3] 3714->3715 3726 age <= 0.524 gini = 0.494 samples = 9 value = [5, 4] 3714->3726 3716 gini = 0.0 samples = 13 value = [13, 0] 3715->3716 3717 job_blue-collar <= 0.5 gini = 0.397 samples = 11 value = [8, 3] 3715->3717 3718 age <= 0.477 gini = 0.32 samples = 10 value = [8, 2] 3717->3718 3725 gini = 0.0 samples = 1 value = [0, 1] 3717->3725 3719 gini = 0.0 samples = 1 value = [0, 1] 3718->3719 3720 week of the month_thirdweek <= 0.5 gini = 0.198 samples = 9 value = [8, 1] 3718->3720 3721 gini = 0.0 samples = 7 value = [7, 0] 3720->3721 3722 month_nov <= 0.5 gini = 0.5 samples = 2 value = [1, 1] 3720->3722 3723 gini = 0.0 samples = 1 value = [0, 1] 3722->3723 3724 gini = 0.0 samples = 1 value = [1, 0] 3722->3724 3727 week of the month_secondweek <= 0.5 gini = 0.444 samples = 6 value = [2, 4] 3726->3727 3732 gini = 0.0 samples = 3 value = [3, 0] 3726->3732 3728 gini = 0.0 samples = 3 value = [0, 3] 3727->3728 3729 campaign <= -0.408 gini = 0.444 samples = 3 value = [2, 1] 3727->3729 3730 gini = 0.0 samples = 2 value = [2, 0] 3729->3730 3731 gini = 0.0 samples = 1 value = [0, 1] 3729->3731 3736 gini = 0.0 samples = 3 value = [0, 3] 3735->3736 3737 gini = 0.0 samples = 1 value = [1, 0] 3735->3737 3739 gini = 0.0 samples = 1 value = [1, 0] 3738->3739 3740 gini = 0.0 samples = 3 value = [0, 3] 3738->3740 3743 age <= 3.867 gini = 0.24 samples = 43 value = [37, 6] 3742->3743 3758 education_secondary <= 0.5 gini = 0.477 samples = 28 value = [17, 11] 3742->3758 3744 default_no <= 0.5 gini = 0.21 samples = 42 value = [37, 5] 3743->3744 3757 gini = 0.0 samples = 1 value = [0, 1] 3743->3757 3745 gini = 0.0 samples = 1 value = [0, 1] 3744->3745 3746 duration <= 1.03 gini = 0.176 samples = 41 value = [37, 4] 3744->3746 3747 gini = 0.0 samples = 1 value = [0, 1] 3746->3747 3748 campaign <= 0.56 gini = 0.139 samples = 40 value = [37, 3] 3746->3748 3749 month_feb <= 0.5 gini = 0.056 samples = 35 value = [34, 1] 3748->3749 3754 month_may <= 0.5 gini = 0.48 samples = 5 value = [3, 2] 3748->3754 3750 gini = 0.0 samples = 32 value = [32, 0] 3749->3750 3751 balance <= -0.15 gini = 0.444 samples = 3 value = [2, 1] 3749->3751 3752 gini = 0.0 samples = 1 value = [0, 1] 3751->3752 3753 gini = 0.0 samples = 2 value = [2, 0] 3751->3753 3755 gini = 0.0 samples = 3 value = [3, 0] 3754->3755 3756 gini = 0.0 samples = 2 value = [0, 2] 3754->3756 3759 week of the month_firstweek <= 0.5 gini = 0.32 samples = 15 value = [12, 3] 3758->3759 3766 balance <= 2.58 gini = 0.473 samples = 13 value = [5, 8] 3758->3766 3760 campaign <= 0.722 gini = 0.153 samples = 12 value = [11, 1] 3759->3760 3763 contact_telephone <= 0.5 gini = 0.444 samples = 3 value = [1, 2] 3759->3763 3761 gini = 0.0 samples = 11 value = [11, 0] 3760->3761 3762 gini = 0.0 samples = 1 value = [0, 1] 3760->3762 3764 gini = 0.0 samples = 2 value = [0, 2] 3763->3764 3765 gini = 0.0 samples = 1 value = [1, 0] 3763->3765 3767 job_technician <= 0.5 gini = 0.397 samples = 11 value = [3, 8] 3766->3767 3776 gini = 0.0 samples = 2 value = [2, 0] 3766->3776 3768 duration <= 1.096 gini = 0.219 samples = 8 value = [1, 7] 3767->3768 3773 balance <= 2.031 gini = 0.444 samples = 3 value = [2, 1] 3767->3773 3769 balance <= 0.615 gini = 0.5 samples = 2 value = [1, 1] 3768->3769 3772 gini = 0.0 samples = 6 value = [0, 6] 3768->3772 3770 gini = 0.0 samples = 1 value = [1, 0] 3769->3770 3771 gini = 0.0 samples = 1 value = [0, 1] 3769->3771 3774 gini = 0.0 samples = 2 value = [2, 0] 3773->3774 3775 gini = 0.0 samples = 1 value = [0, 1] 3773->3775 3779 education_tertiary <= 0.5 gini = 0.38 samples = 369 value = [275, 94] 3778->3779 3936 poutcome_failure <= 0.5 gini = 0.474 samples = 88 value = [54, 34] 3778->3936 3780 month_dec <= 0.5 gini = 0.328 samples = 256 value = [203, 53] 3779->3780 3881 month_jul <= 0.5 gini = 0.462 samples = 113 value = [72, 41] 3779->3881 3781 balance <= -0.45 gini = 0.321 samples = 254 value = [203, 51] 3780->3781 3880 gini = 0.0 samples = 2 value = [0, 2] 3780->3880 3782 gini = 0.0 samples = 18 value = [18, 0] 3781->3782 3783 week of the month_forthweek <= 0.5 gini = 0.339 samples = 236 value = [185, 51] 3781->3783 3784 age <= 2.125 gini = 0.299 samples = 180 value = [147, 33] 3783->3784 3851 job_admin. <= 0.5 gini = 0.436 samples = 56 value = [38, 18] 3783->3851 3785 month_jan <= 0.5 gini = 0.278 samples = 168 value = [140, 28] 3784->3785 3844 duration <= 1.081 gini = 0.486 samples = 12 value = [7, 5] 3784->3844 3786 age <= -0.983 gini = 0.271 samples = 167 value = [140, 27] 3785->3786 3843 gini = 0.0 samples = 1 value = [0, 1] 3785->3843 3787 month_nov <= 0.5 gini = 0.473 samples = 13 value = [8, 5] 3786->3787 3794 job_housemaid <= 0.5 gini = 0.245 samples = 154 value = [132, 22] 3786->3794 3788 duration <= 1.401 gini = 0.32 samples = 10 value = [8, 2] 3787->3788 3793 gini = 0.0 samples = 3 value = [0, 3] 3787->3793 3789 campaign <= 0.883 gini = 0.198 samples = 9 value = [8, 1] 3788->3789 3792 gini = 0.0 samples = 1 value = [0, 1] 3788->3792 3790 gini = 0.0 samples = 8 value = [8, 0] 3789->3790 3791 gini = 0.0 samples = 1 value = [0, 1] 3789->3791 3795 age <= 0.147 gini = 0.231 samples = 150 value = [130, 20] 3794->3795 3840 duration <= 1.289 gini = 0.5 samples = 4 value = [2, 2] 3794->3840 3796 job_self-employed <= 0.5 gini = 0.153 samples = 84 value = [77, 7] 3795->3796 3817 duration <= 1.178 gini = 0.316 samples = 66 value = [53, 13] 3795->3817 3797 age <= -0.794 gini = 0.117 samples = 80 value = [75, 5] 3796->3797 3814 month_jul <= 0.5 gini = 0.5 samples = 4 value = [2, 2] 3796->3814 3798 age <= -0.889 gini = 0.266 samples = 19 value = [16, 3] 3797->3798 3805 age <= -0.041 gini = 0.063 samples = 61 value = [59, 2] 3797->3805 3799 gini = 0.0 samples = 12 value = [12, 0] 3798->3799 3800 balance <= 0.407 gini = 0.49 samples = 7 value = [4, 3] 3798->3800 3801 duration <= 1.129 gini = 0.375 samples = 4 value = [1, 3] 3800->3801 3804 gini = 0.0 samples = 3 value = [3, 0] 3800->3804 3802 gini = 0.0 samples = 1 value = [1, 0] 3801->3802 3803 gini = 0.0 samples = 3 value = [0, 3] 3801->3803 3806 gini = 0.0 samples = 46 value = [46, 0] 3805->3806 3807 week of the month_secondweek <= 0.5 gini = 0.231 samples = 15 value = [13, 2] 3805->3807 3808 job_entrepreneur <= 0.5 gini = 0.133 samples = 14 value = [13, 1] 3807->3808 3813 gini = 0.0 samples = 1 value = [0, 1] 3807->3813 3809 gini = 0.0 samples = 12 value = [12, 0] 3808->3809 3810 education_primary <= 0.5 gini = 0.5 samples = 2 value = [1, 1] 3808->3810 3811 gini = 0.0 samples = 1 value = [1, 0] 3810->3811 3812 gini = 0.0 samples = 1 value = [0, 1] 3810->3812 3815 gini = 0.0 samples = 2 value = [2, 0] 3814->3815 3816 gini = 0.0 samples = 2 value = [0, 2] 3814->3816 3818 duration <= 1.166 gini = 0.444 samples = 27 value = [18, 9] 3817->3818 3831 default_yes <= 0.5 gini = 0.184 samples = 39 value = [35, 4] 3817->3831 3819 balance <= -0.046 gini = 0.403 samples = 25 value = [18, 7] 3818->3819 3830 gini = 0.0 samples = 2 value = [0, 2] 3818->3830 3820 job_admin. <= 0.5 gini = 0.231 samples = 15 value = [13, 2] 3819->3820 3825 balance <= 0.959 gini = 0.5 samples = 10 value = [5, 5] 3819->3825 3821 gini = 0.0 samples = 12 value = [12, 0] 3820->3821 3822 campaign <= 0.238 gini = 0.444 samples = 3 value = [1, 2] 3820->3822 3823 gini = 0.0 samples = 2 value = [0, 2] 3822->3823 3824 gini = 0.0 samples = 1 value = [1, 0] 3822->3824 3826 duration <= 1.157 gini = 0.278 samples = 6 value = [1, 5] 3825->3826 3829 gini = 0.0 samples = 4 value = [4, 0] 3825->3829 3827 gini = 0.0 samples = 5 value = [0, 5] 3826->3827 3828 gini = 0.0 samples = 1 value = [1, 0] 3826->3828 3832 month_jul <= 0.5 gini = 0.145 samples = 38 value = [35, 3] 3831->3832 3839 gini = 0.0 samples = 1 value = [0, 1] 3831->3839 3833 gini = 0.0 samples = 29 value = [29, 0] 3832->3833 3834 week of the month_firstweek <= 0.5 gini = 0.444 samples = 9 value = [6, 3] 3832->3834 3835 balance <= -0.446 gini = 0.245 samples = 7 value = [6, 1] 3834->3835 3838 gini = 0.0 samples = 2 value = [0, 2] 3834->3838 3836 gini = 0.0 samples = 1 value = [0, 1] 3835->3836 3837 gini = 0.0 samples = 6 value = [6, 0] 3835->3837 3841 gini = 0.0 samples = 2 value = [2, 0] 3840->3841 3842 gini = 0.0 samples = 2 value = [0, 2] 3840->3842 3845 gini = 0.0 samples = 3 value = [0, 3] 3844->3845 3846 housing_no <= 0.5 gini = 0.346 samples = 9 value = [7, 2] 3844->3846 3847 gini = 0.0 samples = 1 value = [0, 1] 3846->3847 3848 poutcome_other <= 0.5 gini = 0.219 samples = 8 value = [7, 1] 3846->3848 3849 gini = 0.0 samples = 7 value = [7, 0] 3848->3849 3850 gini = 0.0 samples = 1 value = [0, 1] 3848->3850 3852 age <= -0.229 gini = 0.369 samples = 45 value = [34, 11] 3851->3852 3873 campaign <= -0.408 gini = 0.463 samples = 11 value = [4, 7] 3851->3873 3853 job_technician <= 0.5 gini = 0.497 samples = 13 value = [7, 6] 3852->3853 3862 month_nov <= 0.5 gini = 0.264 samples = 32 value = [27, 5] 3852->3862 3854 duration <= 1.327 gini = 0.42 samples = 10 value = [7, 3] 3853->3854 3861 gini = 0.0 samples = 3 value = [0, 3] 3853->3861 3855 balance <= -0.289 gini = 0.48 samples = 5 value = [2, 3] 3854->3855 3860 gini = 0.0 samples = 5 value = [5, 0] 3854->3860 3856 education_primary <= 0.5 gini = 0.444 samples = 3 value = [2, 1] 3855->3856 3859 gini = 0.0 samples = 2 value = [0, 2] 3855->3859 3857 gini = 0.0 samples = 2 value = [2, 0] 3856->3857 3858 gini = 0.0 samples = 1 value = [0, 1] 3856->3858 3863 month_aug <= 0.5 gini = 0.225 samples = 31 value = [27, 4] 3862->3863 3872 gini = 0.0 samples = 1 value = [0, 1] 3862->3872 3864 duration <= 1.296 gini = 0.137 samples = 27 value = [25, 2] 3863->3864 3869 campaign <= 0.076 gini = 0.5 samples = 4 value = [2, 2] 3863->3869 3865 gini = 0.0 samples = 21 value = [21, 0] 3864->3865 3866 campaign <= 0.076 gini = 0.444 samples = 6 value = [4, 2] 3864->3866 3867 gini = 0.0 samples = 4 value = [4, 0] 3866->3867 3868 gini = 0.0 samples = 2 value = [0, 2] 3866->3868 3870 gini = 0.0 samples = 2 value = [0, 2] 3869->3870 3871 gini = 0.0 samples = 2 value = [2, 0] 3869->3871 3874 gini = 0.0 samples = 5 value = [0, 5] 3873->3874 3875 duration <= 1.052 gini = 0.444 samples = 6 value = [4, 2] 3873->3875 3876 gini = 0.0 samples = 1 value = [0, 1] 3875->3876 3877 age <= 1.466 gini = 0.32 samples = 5 value = [4, 1] 3875->3877 3878 gini = 0.0 samples = 4 value = [4, 0] 3877->3878 3879 gini = 0.0 samples = 1 value = [0, 1] 3877->3879 3882 week of the month_thirdweek <= 0.5 gini = 0.494 samples = 81 value = [45, 36] 3881->3882 3927 balance <= 0.228 gini = 0.264 samples = 32 value = [27, 5] 3881->3927 3883 loan_yes <= 0.5 gini = 0.498 samples = 51 value = [24, 27] 3882->3883 3914 age <= -0.418 gini = 0.42 samples = 30 value = [21, 9] 3882->3914 3884 balance <= -0.369 gini = 0.488 samples = 45 value = [19, 26] 3883->3884 3911 job_technician <= 0.5 gini = 0.278 samples = 6 value = [5, 1] 3883->3911 3885 duration <= 1.277 gini = 0.375 samples = 16 value = [4, 12] 3884->3885 3894 balance <= -0.245 gini = 0.499 samples = 29 value = [15, 14] 3884->3894 3886 campaign <= 0.238 gini = 0.165 samples = 11 value = [1, 10] 3885->3886 3891 age <= 0.665 gini = 0.48 samples = 5 value = [3, 2] 3885->3891 3887 gini = 0.0 samples = 9 value = [0, 9] 3886->3887 3888 week of the month_firstweek <= 0.5 gini = 0.5 samples = 2 value = [1, 1] 3886->3888 3889 gini = 0.0 samples = 1 value = [0, 1] 3888->3889 3890 gini = 0.0 samples = 1 value = [1, 0] 3888->3890 3892 gini = 0.0 samples = 3 value = [3, 0] 3891->3892 3893 gini = 0.0 samples = 2 value = [0, 2] 3891->3893 3895 job_management <= 0.5 gini = 0.375 samples = 12 value = [9, 3] 3894->3895 3902 month_jan <= 0.5 gini = 0.457 samples = 17 value = [6, 11] 3894->3902 3896 gini = 0.0 samples = 6 value = [6, 0] 3895->3896 3897 age <= 0.477 gini = 0.5 samples = 6 value = [3, 3] 3895->3897 3898 gini = 0.0 samples = 2 value = [0, 2] 3897->3898 3899 age <= 1.607 gini = 0.375 samples = 4 value = [3, 1] 3897->3899 3900 gini = 0.0 samples = 3 value = [3, 0] 3899->3900 3901 gini = 0.0 samples = 1 value = [0, 1] 3899->3901 3903 job_management <= 0.5 gini = 0.391 samples = 15 value = [4, 11] 3902->3903 3910 gini = 0.0 samples = 2 value = [2, 0] 3902->3910 3904 gini = 0.0 samples = 7 value = [0, 7] 3903->3904 3905 balance <= -0.004 gini = 0.5 samples = 8 value = [4, 4] 3903->3905 3906 gini = 0.0 samples = 3 value = [0, 3] 3905->3906 3907 duration <= 1.345 gini = 0.32 samples = 5 value = [4, 1] 3905->3907 3908 gini = 0.0 samples = 4 value = [4, 0] 3907->3908 3909 gini = 0.0 samples = 1 value = [0, 1] 3907->3909 3912 gini = 0.0 samples = 5 value = [5, 0] 3911->3912 3913 gini = 0.0 samples = 1 value = [0, 1] 3911->3913 3915 gini = 0.0 samples = 11 value = [11, 0] 3914->3915 3916 campaign <= 0.56 gini = 0.499 samples = 19 value = [10, 9] 3914->3916 3917 duration <= 1.122 gini = 0.469 samples = 16 value = [10, 6] 3916->3917 3926 gini = 0.0 samples = 3 value = [0, 3] 3916->3926 3918 month_nov <= 0.5 gini = 0.48 samples = 10 value = [4, 6] 3917->3918 3925 gini = 0.0 samples = 6 value = [6, 0] 3917->3925 3919 campaign <= -0.408 gini = 0.444 samples = 6 value = [4, 2] 3918->3919 3924 gini = 0.0 samples = 4 value = [0, 4] 3918->3924 3920 month_aug <= 0.5 gini = 0.444 samples = 3 value = [1, 2] 3919->3920 3923 gini = 0.0 samples = 3 value = [3, 0] 3919->3923 3921 gini = 0.0 samples = 2 value = [0, 2] 3920->3921 3922 gini = 0.0 samples = 1 value = [1, 0] 3920->3922 3928 balance <= -0.591 gini = 0.077 samples = 25 value = [24, 1] 3927->3928 3933 age <= 0.241 gini = 0.49 samples = 7 value = [3, 4] 3927->3933 3929 balance <= -0.616 gini = 0.444 samples = 3 value = [2, 1] 3928->3929 3932 gini = 0.0 samples = 22 value = [22, 0] 3928->3932 3930 gini = 0.0 samples = 2 value = [2, 0] 3929->3930 3931 gini = 0.0 samples = 1 value = [0, 1] 3929->3931 3934 gini = 0.0 samples = 3 value = [3, 0] 3933->3934 3935 gini = 0.0 samples = 4 value = [0, 4] 3933->3935 3937 duration <= 1.287 gini = 0.499 samples = 60 value = [31, 29] 3936->3937 3974 week of the month_thirdweek <= 0.5 gini = 0.293 samples = 28 value = [23, 5] 3936->3974 3938 duration <= 1.199 gini = 0.473 samples = 39 value = [24, 15] 3937->3938 3961 balance <= -0.284 gini = 0.444 samples = 21 value = [7, 14] 3937->3961 3939 duration <= 1.135 gini = 0.499 samples = 29 value = [15, 14] 3938->3939 3958 education_unknown <= 0.5 gini = 0.18 samples = 10 value = [9, 1] 3938->3958 3940 age <= -0.794 gini = 0.43 samples = 16 value = [11, 5] 3939->3940 3949 campaign <= 0.399 gini = 0.426 samples = 13 value = [4, 9] 3939->3949 3941 gini = 0.0 samples = 2 value = [0, 2] 3940->3941 3942 age <= 0.383 gini = 0.337 samples = 14 value = [11, 3] 3940->3942 3943 job_technician <= 0.5 gini = 0.165 samples = 11 value = [10, 1] 3942->3943 3946 balance <= 0.019 gini = 0.444 samples = 3 value = [1, 2] 3942->3946 3944 gini = 0.0 samples = 10 value = [10, 0] 3943->3944 3945 gini = 0.0 samples = 1 value = [0, 1] 3943->3945 3947 gini = 0.0 samples = 2 value = [0, 2] 3946->3947 3948 gini = 0.0 samples = 1 value = [1, 0] 3946->3948 3950 campaign <= -0.408 gini = 0.298 samples = 11 value = [2, 9] 3949->3950 3957 gini = 0.0 samples = 2 value = [2, 0] 3949->3957 3951 gini = 0.0 samples = 5 value = [0, 5] 3950->3951 3952 balance <= -0.382 gini = 0.444 samples = 6 value = [2, 4] 3950->3952 3953 gini = 0.0 samples = 3 value = [0, 3] 3952->3953 3954 age <= -0.653 gini = 0.444 samples = 3 value = [2, 1] 3952->3954 3955 gini = 0.0 samples = 1 value = [0, 1] 3954->3955 3956 gini = 0.0 samples = 2 value = [2, 0] 3954->3956 3959 gini = 0.0 samples = 9 value = [9, 0] 3958->3959 3960 gini = 0.0 samples = 1 value = [0, 1] 3958->3960 3962 job_self-employed <= 0.5 gini = 0.165 samples = 11 value = [1, 10] 3961->3962 3965 education_secondary <= 0.5 gini = 0.48 samples = 10 value = [6, 4] 3961->3965 3963 gini = 0.0 samples = 10 value = [0, 10] 3962->3963 3964 gini = 0.0 samples = 1 value = [1, 0] 3962->3964 3966 job_management <= 0.5 gini = 0.48 samples = 5 value = [2, 3] 3965->3966 3971 job_admin. <= 0.5 gini = 0.32 samples = 5 value = [4, 1] 3965->3971 3967 gini = 0.0 samples = 2 value = [0, 2] 3966->3967 3968 duration <= 1.399 gini = 0.444 samples = 3 value = [2, 1] 3966->3968 3969 gini = 0.0 samples = 2 value = [2, 0] 3968->3969 3970 gini = 0.0 samples = 1 value = [0, 1] 3968->3970 3972 gini = 0.0 samples = 4 value = [4, 0] 3971->3972 3973 gini = 0.0 samples = 1 value = [0, 1] 3971->3973 3975 age <= 1.748 gini = 0.159 samples = 23 value = [21, 2] 3974->3975 3982 balance <= -0.346 gini = 0.48 samples = 5 value = [2, 3] 3974->3982 3976 job_entrepreneur <= 0.5 gini = 0.087 samples = 22 value = [21, 1] 3975->3976 3981 gini = 0.0 samples = 1 value = [0, 1] 3975->3981 3977 gini = 0.0 samples = 20 value = [20, 0] 3976->3977 3978 duration <= 1.322 gini = 0.5 samples = 2 value = [1, 1] 3976->3978 3979 gini = 0.0 samples = 1 value = [1, 0] 3978->3979 3980 gini = 0.0 samples = 1 value = [0, 1] 3978->3980 3983 gini = 0.0 samples = 2 value = [0, 2] 3982->3983 3984 duration <= 1.168 gini = 0.444 samples = 3 value = [2, 1] 3982->3984 3985 gini = 0.0 samples = 1 value = [0, 1] 3984->3985 3986 gini = 0.0 samples = 2 value = [2, 0] 3984->3986 3988 balance <= -0.669 gini = 0.408 samples = 28 value = [8, 20] 3987->3988 4003 age <= 1.748 gini = 0.492 samples = 669 value = [376, 293] 3987->4003 3989 education_secondary <= 0.5 gini = 0.32 samples = 5 value = [4, 1] 3988->3989 3992 poutcome_other <= 0.5 gini = 0.287 samples = 23 value = [4, 19] 3988->3992 3990 gini = 0.0 samples = 4 value = [4, 0] 3989->3990 3991 gini = 0.0 samples = 1 value = [0, 1] 3989->3991 3993 duration <= 2.116 gini = 0.236 samples = 22 value = [3, 19] 3992->3993 4002 gini = 0.0 samples = 1 value = [1, 0] 3992->4002 3994 age <= -1.312 gini = 0.172 samples = 21 value = [2, 19] 3993->3994 4001 gini = 0.0 samples = 1 value = [1, 0] 3993->4001 3995 gini = 0.0 samples = 1 value = [1, 0] 3994->3995 3996 job_admin. <= 0.5 gini = 0.095 samples = 20 value = [1, 19] 3994->3996 3997 gini = 0.0 samples = 18 value = [0, 18] 3996->3997 3998 duration <= 1.751 gini = 0.5 samples = 2 value = [1, 1] 3996->3998 3999 gini = 0.0 samples = 1 value = [1, 0] 3998->3999 4000 gini = 0.0 samples = 1 value = [0, 1] 3998->4000 4004 marital_single <= 0.5 gini = 0.488 samples = 628 value = [362, 266] 4003->4004 4371 duration <= 1.92 gini = 0.45 samples = 41 value = [14, 27] 4003->4371 4005 month_aug <= 0.5 gini = 0.473 samples = 435 value = [268, 167] 4004->4005 4250 balance <= 0.317 gini = 0.5 samples = 193 value = [94, 99] 4004->4250 4006 month_jun <= 0.5 gini = 0.453 samples = 354 value = [231, 123] 4005->4006 4195 campaign <= 0.56 gini = 0.496 samples = 81 value = [37, 44] 4005->4195 4007 duration <= 1.465 gini = 0.445 samples = 344 value = [229, 115] 4006->4007 4190 campaign <= -0.408 gini = 0.32 samples = 10 value = [2, 8] 4006->4190 4008 week of the month_forthweek <= 0.5 gini = 0.32 samples = 5 value = [1, 4] 4007->4008 4011 month_sep <= 0.5 gini = 0.44 samples = 339 value = [228, 111] 4007->4011 4009 gini = 0.0 samples = 4 value = [0, 4] 4008->4009 4010 gini = 0.0 samples = 1 value = [1, 0] 4008->4010 4012 age <= 0.618 gini = 0.435 samples = 332 value = [226, 106] 4011->4012 4185 age <= -0.229 gini = 0.408 samples = 7 value = [2, 5] 4011->4185 4013 loan_no <= 0.5 gini = 0.455 samples = 249 value = [162, 87] 4012->4013 4148 balance <= -0.449 gini = 0.353 samples = 83 value = [64, 19] 4012->4148 4014 job_entrepreneur <= 0.5 gini = 0.298 samples = 55 value = [45, 10] 4013->4014 4029 balance <= -0.185 gini = 0.479 samples = 194 value = [117, 77] 4013->4029 4015 balance <= -0.399 gini = 0.237 samples = 51 value = [44, 7] 4014->4015 4026 age <= -0.936 gini = 0.375 samples = 4 value = [1, 3] 4014->4026 4016 month_may <= 0.5 gini = 0.434 samples = 22 value = [15, 7] 4015->4016 4025 gini = 0.0 samples = 29 value = [29, 0] 4015->4025 4017 campaign <= 0.56 gini = 0.291 samples = 17 value = [14, 3] 4016->4017 4022 duration <= 1.535 gini = 0.32 samples = 5 value = [1, 4] 4016->4022 4018 balance <= -0.407 gini = 0.124 samples = 15 value = [14, 1] 4017->4018 4021 gini = 0.0 samples = 2 value = [0, 2] 4017->4021 4019 gini = 0.0 samples = 14 value = [14, 0] 4018->4019 4020 gini = 0.0 samples = 1 value = [0, 1] 4018->4020 4023 gini = 0.0 samples = 1 value = [1, 0] 4022->4023 4024 gini = 0.0 samples = 4 value = [0, 4] 4022->4024 4027 gini = 0.0 samples = 1 value = [1, 0] 4026->4027 4028 gini = 0.0 samples = 3 value = [0, 3] 4026->4028 4030 job_self-employed <= 0.5 gini = 0.43 samples = 115 value = [79, 36] 4029->4030 4097 balance <= -0.157 gini = 0.499 samples = 79 value = [38, 41] 4029->4097 4031 job_admin. <= 0.5 gini = 0.418 samples = 111 value = [78, 33] 4030->4031 4094 balance <= -0.378 gini = 0.375 samples = 4 value = [1, 3] 4030->4094 4032 age <= -0.512 gini = 0.395 samples = 96 value = [70, 26] 4031->4032 4081 week of the month_forthweek <= 0.5 gini = 0.498 samples = 15 value = [8, 7] 4031->4081 4033 duration <= 1.5 gini = 0.298 samples = 44 value = [36, 8] 4032->4033 4054 job_management <= 0.5 gini = 0.453 samples = 52 value = [34, 18] 4032->4054 4034 gini = 0.0 samples = 2 value = [0, 2] 4033->4034 4035 campaign <= 0.722 gini = 0.245 samples = 42 value = [36, 6] 4033->4035 4036 balance <= -0.451 gini = 0.214 samples = 41 value = [36, 5] 4035->4036 4053 gini = 0.0 samples = 1 value = [0, 1] 4035->4053 4037 gini = 0.0 samples = 1 value = [0, 1] 4036->4037 4038 month_nov <= 0.5 gini = 0.18 samples = 40 value = [36, 4] 4036->4038 4039 week of the month_forthweek <= 0.5 gini = 0.114 samples = 33 value = [31, 2] 4038->4039 4048 age <= -0.983 gini = 0.408 samples = 7 value = [5, 2] 4038->4048 4040 gini = 0.0 samples = 22 value = [22, 0] 4039->4040 4041 balance <= -0.255 gini = 0.298 samples = 11 value = [9, 2] 4039->4041 4042 age <= -0.653 gini = 0.18 samples = 10 value = [9, 1] 4041->4042 4047 gini = 0.0 samples = 1 value = [0, 1] 4041->4047 4043 gini = 0.0 samples = 7 value = [7, 0] 4042->4043 4044 education_tertiary <= 0.5 gini = 0.444 samples = 3 value = [2, 1] 4042->4044 4045 gini = 0.0 samples = 2 value = [2, 0] 4044->4045 4046 gini = 0.0 samples = 1 value = [0, 1] 4044->4046 4049 job_unemployed <= 0.5 gini = 0.444 samples = 3 value = [1, 2] 4048->4049 4052 gini = 0.0 samples = 4 value = [4, 0] 4048->4052 4050 gini = 0.0 samples = 2 value = [0, 2] 4049->4050 4051 gini = 0.0 samples = 1 value = [1, 0] 4049->4051 4055 month_jul <= 0.5 gini = 0.368 samples = 37 value = [28, 9] 4054->4055 4072 month_may <= 0.5 gini = 0.48 samples = 15 value = [6, 9] 4054->4072 4056 age <= -0.418 gini = 0.26 samples = 26 value = [22, 4] 4055->4056 4065 education_primary <= 0.5 gini = 0.496 samples = 11 value = [6, 5] 4055->4065 4057 balance <= -0.341 gini = 0.5 samples = 4 value = [2, 2] 4056->4057 4060 campaign <= -0.408 gini = 0.165 samples = 22 value = [20, 2] 4056->4060 4058 gini = 0.0 samples = 2 value = [0, 2] 4057->4058 4059 gini = 0.0 samples = 2 value = [2, 0] 4057->4059 4061 job_blue-collar <= 0.5 gini = 0.48 samples = 5 value = [3, 2] 4060->4061 4064 gini = 0.0 samples = 17 value = [17, 0] 4060->4064 4062 gini = 0.0 samples = 2 value = [0, 2] 4061->4062 4063 gini = 0.0 samples = 3 value = [3, 0] 4061->4063 4066 duration <= 1.632 gini = 0.444 samples = 9 value = [6, 3] 4065->4066 4071 gini = 0.0 samples = 2 value = [0, 2] 4065->4071 4067 gini = 0.0 samples = 4 value = [4, 0] 4066->4067 4068 duration <= 1.704 gini = 0.48 samples = 5 value = [2, 3] 4066->4068 4069 gini = 0.0 samples = 3 value = [0, 3] 4068->4069 4070 gini = 0.0 samples = 2 value = [2, 0] 4068->4070 4073 age <= 0.053 gini = 0.496 samples = 11 value = [6, 5] 4072->4073 4080 gini = 0.0 samples = 4 value = [0, 4] 4072->4080 4074 campaign <= 0.238 gini = 0.278 samples = 6 value = [5, 1] 4073->4074 4077 balance <= -0.344 gini = 0.32 samples = 5 value = [1, 4] 4073->4077 4075 gini = 0.0 samples = 5 value = [5, 0] 4074->4075 4076 gini = 0.0 samples = 1 value = [0, 1] 4074->4076 4078 gini = 0.0 samples = 4 value = [0, 4] 4077->4078 4079 gini = 0.0 samples = 1 value = [1, 0] 4077->4079 4082 campaign <= -0.408 gini = 0.444 samples = 12 value = [8, 4] 4081->4082 4093 gini = 0.0 samples = 3 value = [0, 3] 4081->4093 4083 marital_divorced <= 0.5 gini = 0.48 samples = 5 value = [2, 3] 4082->4083 4088 week of the month_firstweek <= 0.5 gini = 0.245 samples = 7 value = [6, 1] 4082->4088 4084 week of the month_thirdweek <= 0.5 gini = 0.444 samples = 3 value = [2, 1] 4083->4084 4087 gini = 0.0 samples = 2 value = [0, 2] 4083->4087 4085 gini = 0.0 samples = 1 value = [0, 1] 4084->4085 4086 gini = 0.0 samples = 2 value = [2, 0] 4084->4086 4089 gini = 0.0 samples = 5 value = [5, 0] 4088->4089 4090 duration <= 1.694 gini = 0.5 samples = 2 value = [1, 1] 4088->4090 4091 gini = 0.0 samples = 1 value = [1, 0] 4090->4091 4092 gini = 0.0 samples = 1 value = [0, 1] 4090->4092 4095 gini = 0.0 samples = 3 value = [0, 3] 4094->4095 4096 gini = 0.0 samples = 1 value = [1, 0] 4094->4096 4098 month_jul <= 0.5 gini = 0.245 samples = 7 value = [1, 6] 4097->4098 4101 marital_divorced <= 0.5 gini = 0.5 samples = 72 value = [37, 35] 4097->4101 4099 gini = 0.0 samples = 6 value = [0, 6] 4098->4099 4100 gini = 0.0 samples = 1 value = [1, 0] 4098->4100 4102 job_technician <= 0.5 gini = 0.498 samples = 60 value = [28, 32] 4101->4102 4141 month_nov <= 0.5 gini = 0.375 samples = 12 value = [9, 3] 4101->4141 4103 duration <= 2.073 gini = 0.499 samples = 50 value = [26, 24] 4102->4103 4134 duration <= 2.067 gini = 0.32 samples = 10 value = [2, 8] 4102->4134 4104 age <= -1.03 gini = 0.494 samples = 47 value = [26, 21] 4103->4104 4133 gini = 0.0 samples = 3 value = [0, 3] 4103->4133 4105 gini = 0.0 samples = 4 value = [4, 0] 4104->4105 4106 balance <= 0.281 gini = 0.5 samples = 43 value = [22, 21] 4104->4106 4107 education_primary <= 0.5 gini = 0.472 samples = 21 value = [8, 13] 4106->4107 4120 week of the month_thirdweek <= 0.5 gini = 0.463 samples = 22 value = [14, 8] 4106->4120 4108 age <= -0.889 gini = 0.337 samples = 14 value = [3, 11] 4107->4108 4117 balance <= 0.031 gini = 0.408 samples = 7 value = [5, 2] 4107->4117 4109 gini = 0.0 samples = 1 value = [1, 0] 4108->4109 4110 balance <= -0.144 gini = 0.26 samples = 13 value = [2, 11] 4108->4110 4111 gini = 0.0 samples = 1 value = [1, 0] 4110->4111 4112 month_apr <= 0.5 gini = 0.153 samples = 12 value = [1, 11] 4110->4112 4113 gini = 0.0 samples = 9 value = [0, 9] 4112->4113 4114 duration <= 1.749 gini = 0.444 samples = 3 value = [1, 2] 4112->4114 4115 gini = 0.0 samples = 1 value = [1, 0] 4114->4115 4116 gini = 0.0 samples = 2 value = [0, 2] 4114->4116 4118 gini = 0.0 samples = 5 value = [5, 0] 4117->4118 4119 gini = 0.0 samples = 2 value = [0, 2] 4117->4119 4121 duration <= 1.768 gini = 0.486 samples = 12 value = [5, 7] 4120->4121 4128 campaign <= 0.238 gini = 0.18 samples = 10 value = [9, 1] 4120->4128 4122 gini = 0.0 samples = 5 value = [0, 5] 4121->4122 4123 month_apr <= 0.5 gini = 0.408 samples = 7 value = [5, 2] 4121->4123 4124 gini = 0.0 samples = 4 value = [4, 0] 4123->4124 4125 poutcome_unknown <= 0.5 gini = 0.444 samples = 3 value = [1, 2] 4123->4125 4126 gini = 0.0 samples = 2 value = [0, 2] 4125->4126 4127 gini = 0.0 samples = 1 value = [1, 0] 4125->4127 4129 gini = 0.0 samples = 7 value = [7, 0] 4128->4129 4130 balance <= 0.582 gini = 0.444 samples = 3 value = [2, 1] 4128->4130 4131 gini = 0.0 samples = 2 value = [2, 0] 4130->4131 4132 gini = 0.0 samples = 1 value = [0, 1] 4130->4132 4135 duration <= 1.77 gini = 0.198 samples = 9 value = [1, 8] 4134->4135 4140 gini = 0.0 samples = 1 value = [1, 0] 4134->4140 4136 week of the month_forthweek <= 0.5 gini = 0.444 samples = 3 value = [1, 2] 4135->4136 4139 gini = 0.0 samples = 6 value = [0, 6] 4135->4139 4137 gini = 0.0 samples = 1 value = [1, 0] 4136->4137 4138 gini = 0.0 samples = 2 value = [0, 2] 4136->4138 4142 job_services <= 0.5 gini = 0.198 samples = 9 value = [8, 1] 4141->4142 4145 education_primary <= 0.5 gini = 0.444 samples = 3 value = [1, 2] 4141->4145 4143 gini = 0.0 samples = 8 value = [8, 0] 4142->4143 4144 gini = 0.0 samples = 1 value = [0, 1] 4142->4144 4146 gini = 0.0 samples = 2 value = [0, 2] 4145->4146 4147 gini = 0.0 samples = 1 value = [1, 0] 4145->4147 4149 gini = 0.0 samples = 2 value = [0, 2] 4148->4149 4150 poutcome_unknown <= 0.5 gini = 0.332 samples = 81 value = [64, 17] 4148->4150 4151 balance <= -0.41 gini = 0.49 samples = 14 value = [8, 6] 4150->4151 4162 duration <= 2.114 gini = 0.274 samples = 67 value = [56, 11] 4150->4162 4152 gini = 0.0 samples = 3 value = [3, 0] 4151->4152 4153 week of the month_thirdweek <= 0.5 gini = 0.496 samples = 11 value = [5, 6] 4151->4153 4154 marital_divorced <= 0.5 gini = 0.32 samples = 5 value = [1, 4] 4153->4154 4157 month_nov <= 0.5 gini = 0.444 samples = 6 value = [4, 2] 4153->4157 4155 gini = 0.0 samples = 4 value = [0, 4] 4154->4155 4156 gini = 0.0 samples = 1 value = [1, 0] 4154->4156 4158 gini = 0.0 samples = 3 value = [3, 0] 4157->4158 4159 education_tertiary <= 0.5 gini = 0.444 samples = 3 value = [1, 2] 4157->4159 4160 gini = 0.0 samples = 2 value = [0, 2] 4159->4160 4161 gini = 0.0 samples = 1 value = [1, 0] 4159->4161 4163 duration <= 1.615 gini = 0.257 samples = 66 value = [56, 10] 4162->4163 4184 gini = 0.0 samples = 1 value = [0, 1] 4162->4184 4164 gini = 0.0 samples = 16 value = [16, 0] 4163->4164 4165 duration <= 1.63 gini = 0.32 samples = 50 value = [40, 10] 4163->4165 4166 gini = 0.0 samples = 2 value = [0, 2] 4165->4166 4167 balance <= 0.056 gini = 0.278 samples = 48 value = [40, 8] 4165->4167 4168 balance <= -0.098 gini = 0.375 samples = 32 value = [24, 8] 4167->4168 4183 gini = 0.0 samples = 16 value = [16, 0] 4167->4183 4169 housing_no <= 0.5 gini = 0.32 samples = 30 value = [24, 6] 4168->4169 4182 gini = 0.0 samples = 2 value = [0, 2] 4168->4182 4170 job_entrepreneur <= 0.5 gini = 0.124 samples = 15 value = [14, 1] 4169->4170 4175 education_tertiary <= 0.5 gini = 0.444 samples = 15 value = [10, 5] 4169->4175 4171 gini = 0.0 samples = 13 value = [13, 0] 4170->4171 4172 week of the month_thirdweek <= 0.5 gini = 0.5 samples = 2 value = [1, 1] 4170->4172 4173 gini = 0.0 samples = 1 value = [1, 0] 4172->4173 4174 gini = 0.0 samples = 1 value = [0, 1] 4172->4174 4176 age <= 0.995 gini = 0.355 samples = 13 value = [10, 3] 4175->4176 4181 gini = 0.0 samples = 2 value = [0, 2] 4175->4181 4177 gini = 0.0 samples = 7 value = [7, 0] 4176->4177 4178 age <= 1.277 gini = 0.5 samples = 6 value = [3, 3] 4176->4178 4179 gini = 0.0 samples = 3 value = [0, 3] 4178->4179 4180 gini = 0.0 samples = 3 value = [3, 0] 4178->4180 4186 age <= -0.794 gini = 0.444 samples = 3 value = [2, 1] 4185->4186 4189 gini = 0.0 samples = 4 value = [0, 4] 4185->4189 4187 gini = 0.0 samples = 1 value = [0, 1] 4186->4187 4188 gini = 0.0 samples = 2 value = [2, 0] 4186->4188 4191 gini = 0.0 samples = 7 value = [0, 7] 4190->4191 4192 balance <= 0.754 gini = 0.444 samples = 3 value = [2, 1] 4190->4192 4193 gini = 0.0 samples = 2 value = [2, 0] 4192->4193 4194 gini = 0.0 samples = 1 value = [0, 1] 4192->4194 4196 job_unknown <= 0.5 gini = 0.467 samples = 62 value = [23, 39] 4195->4196 4237 age <= -0.889 gini = 0.388 samples = 19 value = [14, 5] 4195->4237 4197 duration <= 1.842 gini = 0.455 samples = 60 value = [21, 39] 4196->4197 4236 gini = 0.0 samples = 2 value = [2, 0] 4196->4236 4198 duration <= 1.805 gini = 0.487 samples = 43 value = [18, 25] 4197->4198 4227 education_unknown <= 0.5 gini = 0.291 samples = 17 value = [3, 14] 4197->4227 4199 age <= -0.182 gini = 0.469 samples = 40 value = [15, 25] 4198->4199 4226 gini = 0.0 samples = 3 value = [3, 0] 4198->4226 4200 duration <= 1.776 gini = 0.463 samples = 11 value = [7, 4] 4199->4200 4207 duration <= 1.683 gini = 0.4 samples = 29 value = [8, 21] 4199->4207 4201 age <= -0.794 gini = 0.346 samples = 9 value = [7, 2] 4200->4201 4206 gini = 0.0 samples = 2 value = [0, 2] 4200->4206 4202 balance <= -0.437 gini = 0.444 samples = 3 value = [1, 2] 4201->4202 4205 gini = 0.0 samples = 6 value = [6, 0] 4201->4205 4203 gini = 0.0 samples = 1 value = [1, 0] 4202->4203 4204 gini = 0.0 samples = 2 value = [0, 2] 4202->4204 4208 duration <= 1.582 gini = 0.463 samples = 22 value = [8, 14] 4207->4208 4225 gini = 0.0 samples = 7 value = [0, 7] 4207->4225 4209 job_blue-collar <= 0.5 gini = 0.26 samples = 13 value = [2, 11] 4208->4209 4218 job_admin. <= 0.5 gini = 0.444 samples = 9 value = [6, 3] 4208->4218 4210 balance <= -0.366 gini = 0.165 samples = 11 value = [1, 10] 4209->4210 4215 balance <= 0.137 gini = 0.5 samples = 2 value = [1, 1] 4209->4215 4211 week of the month_thirdweek <= 0.5 gini = 0.5 samples = 2 value = [1, 1] 4210->4211 4214 gini = 0.0 samples = 9 value = [0, 9] 4210->4214 4212 gini = 0.0 samples = 1 value = [1, 0] 4211->4212 4213 gini = 0.0 samples = 1 value = [0, 1] 4211->4213 4216 gini = 0.0 samples = 1 value = [0, 1] 4215->4216 4217 gini = 0.0 samples = 1 value = [1, 0] 4215->4217 4219 job_technician <= 0.5 gini = 0.375 samples = 8 value = [6, 2] 4218->4219 4224 gini = 0.0 samples = 1 value = [0, 1] 4218->4224 4220 gini = 0.0 samples = 5 value = [5, 0] 4219->4220 4221 housing_no <= 0.5 gini = 0.444 samples = 3 value = [1, 2] 4219->4221 4222 gini = 0.0 samples = 1 value = [1, 0] 4221->4222 4223 gini = 0.0 samples = 2 value = [0, 2] 4221->4223 4228 week of the month_thirdweek <= 0.5 gini = 0.219 samples = 16 value = [2, 14] 4227->4228 4235 gini = 0.0 samples = 1 value = [1, 0] 4227->4235 4229 loan_no <= 0.5 gini = 0.124 samples = 15 value = [1, 14] 4228->4229 4234 gini = 0.0 samples = 1 value = [1, 0] 4228->4234 4230 age <= 0.147 gini = 0.5 samples = 2 value = [1, 1] 4229->4230 4233 gini = 0.0 samples = 13 value = [0, 13] 4229->4233 4231 gini = 0.0 samples = 1 value = [0, 1] 4230->4231 4232 gini = 0.0 samples = 1 value = [1, 0] 4230->4232 4238 gini = 0.0 samples = 2 value = [0, 2] 4237->4238 4239 duration <= 1.514 gini = 0.291 samples = 17 value = [14, 3] 4237->4239 4240 loan_yes <= 0.5 gini = 0.5 samples = 4 value = [2, 2] 4239->4240 4245 duration <= 1.832 gini = 0.142 samples = 13 value = [12, 1] 4239->4245 4241 age <= 0.806 gini = 0.444 samples = 3 value = [1, 2] 4240->4241 4244 gini = 0.0 samples = 1 value = [1, 0] 4240->4244 4242 gini = 0.0 samples = 2 value = [0, 2] 4241->4242 4243 gini = 0.0 samples = 1 value = [1, 0] 4241->4243 4246 gini = 0.0 samples = 9 value = [9, 0] 4245->4246 4247 balance <= 0.081 gini = 0.375 samples = 4 value = [3, 1] 4245->4247 4248 gini = 0.0 samples = 1 value = [0, 1] 4247->4248 4249 gini = 0.0 samples = 3 value = [3, 0] 4247->4249 4251 age <= -0.983 gini = 0.496 samples = 151 value = [82, 69] 4250->4251 4346 balance <= 1.226 gini = 0.408 samples = 42 value = [12, 30] 4250->4346 4252 balance <= -0.436 gini = 0.482 samples = 64 value = [26, 38] 4251->4252 4289 duration <= 2.001 gini = 0.459 samples = 87 value = [56, 31] 4251->4289 4253 balance <= -0.514 gini = 0.165 samples = 11 value = [1, 10] 4252->4253 4256 balance <= -0.423 gini = 0.498 samples = 53 value = [25, 28] 4252->4256 4254 gini = 0.0 samples = 1 value = [1, 0] 4253->4254 4255 gini = 0.0 samples = 10 value = [0, 10] 4253->4255 4257 gini = 0.0 samples = 4 value = [4, 0] 4256->4257 4258 duration <= 1.993 gini = 0.49 samples = 49 value = [21, 28] 4256->4258 4259 balance <= -0.382 gini = 0.499 samples = 44 value = [21, 23] 4258->4259 4288 gini = 0.0 samples = 5 value = [0, 5] 4258->4288 4260 month_jun <= 0.5 gini = 0.346 samples = 9 value = [2, 7] 4259->4260 4267 job_student <= 0.5 gini = 0.496 samples = 35 value = [19, 16] 4259->4267 4261 job_services <= 0.5 gini = 0.219 samples = 8 value = [1, 7] 4260->4261 4266 gini = 0.0 samples = 1 value = [1, 0] 4260->4266 4262 gini = 0.0 samples = 5 value = [0, 5] 4261->4262 4263 month_jul <= 0.5 gini = 0.444 samples = 3 value = [1, 2] 4261->4263 4264 gini = 0.0 samples = 2 value = [0, 2] 4263->4264 4265 gini = 0.0 samples = 1 value = [1, 0] 4263->4265 4268 balance <= -0.266 gini = 0.471 samples = 29 value = [18, 11] 4267->4268 4285 age <= -1.642 gini = 0.278 samples = 6 value = [1, 5] 4267->4285 4269 balance <= -0.342 gini = 0.5 samples = 16 value = [8, 8] 4268->4269 4278 balance <= 0.207 gini = 0.355 samples = 13 value = [10, 3] 4268->4278 4270 week of the month_firstweek <= 0.5 gini = 0.346 samples = 9 value = [7, 2] 4269->4270 4275 week of the month_firstweek <= 0.5 gini = 0.245 samples = 7 value = [1, 6] 4269->4275 4271 job_management <= 0.5 gini = 0.219 samples = 8 value = [7, 1] 4270->4271 4274 gini = 0.0 samples = 1 value = [0, 1] 4270->4274 4272 gini = 0.0 samples = 7 value = [7, 0] 4271->4272 4273 gini = 0.0 samples = 1 value = [0, 1] 4271->4273 4276 gini = 0.0 samples = 6 value = [0, 6] 4275->4276 4277 gini = 0.0 samples = 1 value = [1, 0] 4275->4277 4279 month_mar <= 0.5 gini = 0.278 samples = 12 value = [10, 2] 4278->4279 4284 gini = 0.0 samples = 1 value = [0, 1] 4278->4284 4280 poutcome_other <= 0.5 gini = 0.165 samples = 11 value = [10, 1] 4279->4280 4283 gini = 0.0 samples = 1 value = [0, 1] 4279->4283 4281 gini = 0.0 samples = 10 value = [10, 0] 4280->4281 4282 gini = 0.0 samples = 1 value = [0, 1] 4280->4282 4286 gini = 0.0 samples = 1 value = [1, 0] 4285->4286 4287 gini = 0.0 samples = 5 value = [0, 5] 4285->4287 4290 duration <= 1.657 gini = 0.477 samples = 79 value = [48, 31] 4289->4290 4345 gini = 0.0 samples = 8 value = [8, 0] 4289->4345 4291 age <= -0.794 gini = 0.405 samples = 39 value = [28, 11] 4290->4291 4312 age <= -0.794 gini = 0.5 samples = 40 value = [20, 20] 4290->4312 4292 gini = 0.0 samples = 9 value = [9, 0] 4291->4292 4293 balance <= -0.301 gini = 0.464 samples = 30 value = [19, 11] 4291->4293 4294 age <= -0.418 gini = 0.375 samples = 20 value = [15, 5] 4293->4294 4307 balance <= -0.028 gini = 0.48 samples = 10 value = [4, 6] 4293->4307 4295 month_may <= 0.5 gini = 0.494 samples = 9 value = [5, 4] 4294->4295 4302 week of the month_firstweek <= 0.5 gini = 0.165 samples = 11 value = [10, 1] 4294->4302 4296 week of the month_thirdweek <= 0.5 gini = 0.408 samples = 7 value = [5, 2] 4295->4296 4301 gini = 0.0 samples = 2 value = [0, 2] 4295->4301 4297 gini = 0.0 samples = 4 value = [4, 0] 4296->4297 4298 housing_yes <= 0.5 gini = 0.444 samples = 3 value = [1, 2] 4296->4298 4299 gini = 0.0 samples = 1 value = [1, 0] 4298->4299 4300 gini = 0.0 samples = 2 value = [0, 2] 4298->4300 4303 gini = 0.0 samples = 9 value = [9, 0] 4302->4303 4304 month_aug <= 0.5 gini = 0.5 samples = 2 value = [1, 1] 4302->4304 4305 gini = 0.0 samples = 1 value = [1, 0] 4304->4305 4306 gini = 0.0 samples = 1 value = [0, 1] 4304->4306 4308 job_unemployed <= 0.5 gini = 0.375 samples = 8 value = [2, 6] 4307->4308 4311 gini = 0.0 samples = 2 value = [2, 0] 4307->4311 4309 gini = 0.0 samples = 6 value = [0, 6] 4308->4309 4310 gini = 0.0 samples = 2 value = [2, 0] 4308->4310 4313 campaign <= 0.238 gini = 0.355 samples = 13 value = [3, 10] 4312->4313 4322 week of the month_thirdweek <= 0.5 gini = 0.466 samples = 27 value = [17, 10] 4312->4322 4314 balance <= -0.412 gini = 0.18 samples = 10 value = [1, 9] 4313->4314 4319 duration <= 1.675 gini = 0.444 samples = 3 value = [2, 1] 4313->4319 4315 balance <= -0.431 gini = 0.5 samples = 2 value = [1, 1] 4314->4315 4318 gini = 0.0 samples = 8 value = [0, 8] 4314->4318 4316 gini = 0.0 samples = 1 value = [0, 1] 4315->4316 4317 gini = 0.0 samples = 1 value = [1, 0] 4315->4317 4320 gini = 0.0 samples = 1 value = [0, 1] 4319->4320 4321 gini = 0.0 samples = 2 value = [2, 0] 4319->4321 4323 month_jul <= 0.5 gini = 0.499 samples = 19 value = [10, 9] 4322->4323 4340 job_management <= 0.5 gini = 0.219 samples = 8 value = [7, 1] 4322->4340 4324 month_nov <= 0.5 gini = 0.48 samples = 15 value = [9, 6] 4323->4324 4337 job_unemployed <= 0.5 gini = 0.375 samples = 4 value = [1, 3] 4323->4337 4325 balance <= -0.392 gini = 0.459 samples = 14 value = [9, 5] 4324->4325 4336 gini = 0.0 samples = 1 value = [0, 1] 4324->4336 4326 balance <= -0.435 gini = 0.48 samples = 5 value = [2, 3] 4325->4326 4331 contact_cellular <= 0.5 gini = 0.346 samples = 9 value = [7, 2] 4325->4331 4327 housing_yes <= 0.5 gini = 0.444 samples = 3 value = [2, 1] 4326->4327 4330 gini = 0.0 samples = 2 value = [0, 2] 4326->4330 4328 gini = 0.0 samples = 1 value = [0, 1] 4327->4328 4329 gini = 0.0 samples = 2 value = [2, 0] 4327->4329 4332 gini = 0.0 samples = 1 value = [0, 1] 4331->4332 4333 job_blue-collar <= 0.5 gini = 0.219 samples = 8 value = [7, 1] 4331->4333 4334 gini = 0.0 samples = 7 value = [7, 0] 4333->4334 4335 gini = 0.0 samples = 1 value = [0, 1] 4333->4335 4338 gini = 0.0 samples = 3 value = [0, 3] 4337->4338 4339 gini = 0.0 samples = 1 value = [1, 0] 4337->4339 4341 gini = 0.0 samples = 6 value = [6, 0] 4340->4341 4342 housing_yes <= 0.5 gini = 0.5 samples = 2 value = [1, 1] 4340->4342 4343 gini = 0.0 samples = 1 value = [0, 1] 4342->4343 4344 gini = 0.0 samples = 1 value = [1, 0] 4342->4344 4347 education_unknown <= 0.5 gini = 0.293 samples = 28 value = [5, 23] 4346->4347 4362 balance <= 1.412 gini = 0.5 samples = 14 value = [7, 7] 4346->4362 4348 job_services <= 0.5 gini = 0.252 samples = 27 value = [4, 23] 4347->4348 4361 gini = 0.0 samples = 1 value = [1, 0] 4347->4361 4349 duration <= 1.638 gini = 0.204 samples = 26 value = [3, 23] 4348->4349 4360 gini = 0.0 samples = 1 value = [1, 0] 4348->4360 4350 gini = 0.0 samples = 11 value = [0, 11] 4349->4350 4351 job_blue-collar <= 0.5 gini = 0.32 samples = 15 value = [3, 12] 4349->4351 4352 duration <= 1.696 gini = 0.245 samples = 14 value = [2, 12] 4351->4352 4359 gini = 0.0 samples = 1 value = [1, 0] 4351->4359 4353 gini = 0.0 samples = 1 value = [1, 0] 4352->4353 4354 month_jan <= 0.5 gini = 0.142 samples = 13 value = [1, 12] 4352->4354 4355 gini = 0.0 samples = 10 value = [0, 10] 4354->4355 4356 job_management <= 0.5 gini = 0.444 samples = 3 value = [1, 2] 4354->4356 4357 gini = 0.0 samples = 2 value = [0, 2] 4356->4357 4358 gini = 0.0 samples = 1 value = [1, 0] 4356->4358 4363 gini = 0.0 samples = 3 value = [3, 0] 4362->4363 4364 month_jul <= 0.5 gini = 0.463 samples = 11 value = [4, 7] 4362->4364 4365 duration <= 1.523 gini = 0.346 samples = 9 value = [2, 7] 4364->4365 4370 gini = 0.0 samples = 2 value = [2, 0] 4364->4370 4366 gini = 0.0 samples = 1 value = [1, 0] 4365->4366 4367 campaign <= 0.56 gini = 0.219 samples = 8 value = [1, 7] 4365->4367 4368 gini = 0.0 samples = 7 value = [0, 7] 4367->4368 4369 gini = 0.0 samples = 1 value = [1, 0] 4367->4369 4372 month_sep <= 0.5 gini = 0.342 samples = 32 value = [7, 25] 4371->4372 4385 contact_cellular <= 0.5 gini = 0.346 samples = 9 value = [7, 2] 4371->4385 4373 duration <= 1.469 gini = 0.238 samples = 29 value = [4, 25] 4372->4373 4384 gini = 0.0 samples = 3 value = [3, 0] 4372->4384 4374 gini = 0.0 samples = 1 value = [1, 0] 4373->4374 4375 balance <= 1.861 gini = 0.191 samples = 28 value = [3, 25] 4373->4375 4376 month_mar <= 0.5 gini = 0.083 samples = 23 value = [1, 22] 4375->4376 4381 balance <= 2.502 gini = 0.48 samples = 5 value = [2, 3] 4375->4381 4377 gini = 0.0 samples = 21 value = [0, 21] 4376->4377 4378 age <= 3.349 gini = 0.5 samples = 2 value = [1, 1] 4376->4378 4379 gini = 0.0 samples = 1 value = [1, 0] 4378->4379 4380 gini = 0.0 samples = 1 value = [0, 1] 4378->4380 4382 gini = 0.0 samples = 2 value = [2, 0] 4381->4382 4383 gini = 0.0 samples = 3 value = [0, 3] 4381->4383 4386 gini = 0.0 samples = 1 value = [0, 1] 4385->4386 4387 month_jul <= 0.5 gini = 0.219 samples = 8 value = [7, 1] 4385->4387 4388 gini = 0.0 samples = 7 value = [7, 0] 4387->4388 4389 gini = 0.0 samples = 1 value = [0, 1] 4387->4389 4391 month_may <= 0.5 gini = 0.279 samples = 305 value = [254, 51] 4390->4391 4498 balance <= -0.429 gini = 0.398 samples = 274 value = [199, 75] 4390->4498 4392 age <= 0.806 gini = 0.35 samples = 128 value = [99, 29] 4391->4392 4449 marital_divorced <= 0.5 gini = 0.218 samples = 177 value = [155, 22] 4391->4449 4393 age <= -0.229 gini = 0.402 samples = 97 value = [70, 27] 4392->4393 4442 week of the month_secondweek <= 0.5 gini = 0.121 samples = 31 value = [29, 2] 4392->4442 4394 age <= -1.077 gini = 0.308 samples = 63 value = [51, 12] 4393->4394 4423 balance <= 0.548 gini = 0.493 samples = 34 value = [19, 15] 4393->4423 4395 job_services <= 0.5 gini = 0.461 samples = 25 value = [16, 9] 4394->4395 4408 job_unemployed <= 0.5 gini = 0.145 samples = 38 value = [35, 3] 4394->4408 4396 campaign <= -0.408 gini = 0.397 samples = 22 value = [16, 6] 4395->4396 4407 gini = 0.0 samples = 3 value = [0, 3] 4395->4407 4397 gini = 0.0 samples = 7 value = [7, 0] 4396->4397 4398 education_secondary <= 0.5 gini = 0.48 samples = 15 value = [9, 6] 4396->4398 4399 gini = 0.0 samples = 3 value = [0, 3] 4398->4399 4400 campaign <= 0.883 gini = 0.375 samples = 12 value = [9, 3] 4398->4400 4401 gini = 0.0 samples = 7 value = [7, 0] 4400->4401 4402 balance <= -0.209 gini = 0.48 samples = 5 value = [2, 3] 4400->4402 4403 marital_single <= 0.5 gini = 0.444 samples = 3 value = [2, 1] 4402->4403 4406 gini = 0.0 samples = 2 value = [0, 2] 4402->4406 4404 gini = 0.0 samples = 1 value = [0, 1] 4403->4404 4405 gini = 0.0 samples = 2 value = [2, 0] 4403->4405 4409 month_jul <= 0.5 gini = 0.105 samples = 36 value = [34, 2] 4408->4409 4420 marital_single <= 0.5 gini = 0.5 samples = 2 value = [1, 1] 4408->4420 4410 job_services <= 0.5 gini = 0.057 samples = 34 value = [33, 1] 4409->4410 4417 marital_single <= 0.5 gini = 0.5 samples = 2 value = [1, 1] 4409->4417 4411 gini = 0.0 samples = 26 value = [26, 0] 4410->4411 4412 balance <= -0.392 gini = 0.219 samples = 8 value = [7, 1] 4410->4412 4413 age <= -0.465 gini = 0.5 samples = 2 value = [1, 1] 4412->4413 4416 gini = 0.0 samples = 6 value = [6, 0] 4412->4416 4414 gini = 0.0 samples = 1 value = [0, 1] 4413->4414 4415 gini = 0.0 samples = 1 value = [1, 0] 4413->4415 4418 gini = 0.0 samples = 1 value = [0, 1] 4417->4418 4419 gini = 0.0 samples = 1 value = [1, 0] 4417->4419 4421 gini = 0.0 samples = 1 value = [0, 1] 4420->4421 4422 gini = 0.0 samples = 1 value = [1, 0] 4420->4422 4424 balance <= -0.342 gini = 0.494 samples = 27 value = [12, 15] 4423->4424 4441 gini = 0.0 samples = 7 value = [7, 0] 4423->4441 4425 job_technician <= 0.5 gini = 0.355 samples = 13 value = [10, 3] 4424->4425 4434 age <= 0.665 gini = 0.245 samples = 14 value = [2, 12] 4424->4434 4426 week of the month_secondweek <= 0.5 gini = 0.278 samples = 12 value = [10, 2] 4425->4426 4433 gini = 0.0 samples = 1 value = [0, 1] 4425->4433 4427 housing_no <= 0.5 gini = 0.165 samples = 11 value = [10, 1] 4426->4427 4432 gini = 0.0 samples = 1 value = [0, 1] 4426->4432 4428 campaign <= -0.408 gini = 0.5 samples = 2 value = [1, 1] 4427->4428 4431 gini = 0.0 samples = 9 value = [9, 0] 4427->4431 4429 gini = 0.0 samples = 1 value = [1, 0] 4428->4429 4430 gini = 0.0 samples = 1 value = [0, 1] 4428->4430 4435 marital_divorced <= 0.5 gini = 0.142 samples = 13 value = [1, 12] 4434->4435 4440 gini = 0.0 samples = 1 value = [1, 0] 4434->4440 4436 gini = 0.0 samples = 11 value = [0, 11] 4435->4436 4437 campaign <= -0.247 gini = 0.5 samples = 2 value = [1, 1] 4435->4437 4438 gini = 0.0 samples = 1 value = [0, 1] 4437->4438 4439 gini = 0.0 samples = 1 value = [1, 0] 4437->4439 4443 gini = 0.0 samples = 20 value = [20, 0] 4442->4443 4444 job_retired <= 0.5 gini = 0.298 samples = 11 value = [9, 2] 4442->4444 4445 duration <= 1.343 gini = 0.18 samples = 10 value = [9, 1] 4444->4445 4448 gini = 0.0 samples = 1 value = [0, 1] 4444->4448 4446 gini = 0.0 samples = 9 value = [9, 0] 4445->4446 4447 gini = 0.0 samples = 1 value = [0, 1] 4445->4447 4450 duration <= 1.108 gini = 0.187 samples = 153 value = [137, 16] 4449->4450 4487 duration <= 1.269 gini = 0.375 samples = 24 value = [18, 6] 4449->4487 4451 duration <= 1.085 gini = 0.349 samples = 40 value = [31, 9] 4450->4451 4466 campaign <= 0.238 gini = 0.116 samples = 113 value = [106, 7] 4450->4466 4452 age <= 0.289 gini = 0.137 samples = 27 value = [25, 2] 4451->4452 4461 age <= -0.371 gini = 0.497 samples = 13 value = [6, 7] 4451->4461 4453 gini = 0.0 samples = 17 value = [17, 0] 4452->4453 4454 balance <= -0.266 gini = 0.32 samples = 10 value = [8, 2] 4452->4454 4455 gini = 0.0 samples = 4 value = [4, 0] 4454->4455 4456 education_primary <= 0.5 gini = 0.444 samples = 6 value = [4, 2] 4454->4456 4457 balance <= -0.23 gini = 0.32 samples = 5 value = [4, 1] 4456->4457 4460 gini = 0.0 samples = 1 value = [0, 1] 4456->4460 4458 gini = 0.0 samples = 1 value = [0, 1] 4457->4458 4459 gini = 0.0 samples = 4 value = [4, 0] 4457->4459 4462 job_technician <= 0.5 gini = 0.219 samples = 8 value = [1, 7] 4461->4462 4465 gini = 0.0 samples = 5 value = [5, 0] 4461->4465 4463 gini = 0.0 samples = 7 value = [0, 7] 4462->4463 4464 gini = 0.0 samples = 1 value = [1, 0] 4462->4464 4467 balance <= -0.253 gini = 0.081 samples = 95 value = [91, 4] 4466->4467 4480 education_unknown <= 0.5 gini = 0.278 samples = 18 value = [15, 3] 4466->4480 4468 gini = 0.0 samples = 53 value = [53, 0] 4467->4468 4469 balance <= -0.227 gini = 0.172 samples = 42 value = [38, 4] 4467->4469 4470 housing_yes <= 0.5 gini = 0.444 samples = 3 value = [1, 2] 4469->4470 4473 week of the month_firstweek <= 0.5 gini = 0.097 samples = 39 value = [37, 2] 4469->4473 4471 gini = 0.0 samples = 1 value = [1, 0] 4470->4471 4472 gini = 0.0 samples = 2 value = [0, 2] 4470->4472 4474 duration <= 1.438 gini = 0.051 samples = 38 value = [37, 1] 4473->4474 4479 gini = 0.0 samples = 1 value = [0, 1] 4473->4479 4475 gini = 0.0 samples = 33 value = [33, 0] 4474->4475 4476 duration <= 1.444 gini = 0.32 samples = 5 value = [4, 1] 4474->4476 4477 gini = 0.0 samples = 1 value = [0, 1] 4476->4477 4478 gini = 0.0 samples = 4 value = [4, 0] 4476->4478 4481 week of the month_secondweek <= 0.5 gini = 0.208 samples = 17 value = [15, 2] 4480->4481 4486 gini = 0.0 samples = 1 value = [0, 1] 4480->4486 4482 gini = 0.0 samples = 12 value = [12, 0] 4481->4482 4483 campaign <= 0.722 gini = 0.48 samples = 5 value = [3, 2] 4481->4483 4484 gini = 0.0 samples = 2 value = [0, 2] 4483->4484 4485 gini = 0.0 samples = 3 value = [3, 0] 4483->4485 4488 job_services <= 0.5 gini = 0.117 samples = 16 value = [15, 1] 4487->4488 4493 age <= 0.524 gini = 0.469 samples = 8 value = [3, 5] 4487->4493 4489 gini = 0.0 samples = 13 value = [13, 0] 4488->4489 4490 campaign <= -0.247 gini = 0.444 samples = 3 value = [2, 1] 4488->4490 4491 gini = 0.0 samples = 2 value = [2, 0] 4490->4491 4492 gini = 0.0 samples = 1 value = [0, 1] 4490->4492 4494 gini = 0.0 samples = 3 value = [0, 3] 4493->4494 4495 campaign <= -0.408 gini = 0.48 samples = 5 value = [3, 2] 4493->4495 4496 gini = 0.0 samples = 2 value = [0, 2] 4495->4496 4497 gini = 0.0 samples = 3 value = [3, 0] 4495->4497 4499 duration <= 1.485 gini = 0.26 samples = 65 value = [55, 10] 4498->4499 4522 balance <= -0.286 gini = 0.429 samples = 209 value = [144, 65] 4498->4522 4500 gini = 0.0 samples = 1 value = [0, 1] 4499->4500 4501 age <= 0.854 gini = 0.242 samples = 64 value = [55, 9] 4499->4501 4502 duration <= 1.663 gini = 0.174 samples = 52 value = [47, 5] 4501->4502 4513 job_services <= 0.5 gini = 0.444 samples = 12 value = [8, 4] 4501->4513 4503 duration <= 1.597 gini = 0.375 samples = 16 value = [12, 4] 4502->4503 4508 job_unemployed <= 0.5 gini = 0.054 samples = 36 value = [35, 1] 4502->4508 4504 default_no <= 0.5 gini = 0.142 samples = 13 value = [12, 1] 4503->4504 4507 gini = 0.0 samples = 3 value = [0, 3] 4503->4507 4505 gini = 0.0 samples = 1 value = [0, 1] 4504->4505 4506 gini = 0.0 samples = 12 value = [12, 0] 4504->4506 4509 gini = 0.0 samples = 34 value = [34, 0] 4508->4509 4510 loan_no <= 0.5 gini = 0.5 samples = 2 value = [1, 1] 4508->4510 4511 gini = 0.0 samples = 1 value = [1, 0] 4510->4511 4512 gini = 0.0 samples = 1 value = [0, 1] 4510->4512 4514 age <= 1.089 gini = 0.397 samples = 11 value = [8, 3] 4513->4514 4521 gini = 0.0 samples = 1 value = [0, 1] 4513->4521 4515 job_housemaid <= 0.5 gini = 0.444 samples = 3 value = [1, 2] 4514->4515 4518 duration <= 1.518 gini = 0.219 samples = 8 value = [7, 1] 4514->4518 4516 gini = 0.0 samples = 2 value = [0, 2] 4515->4516 4517 gini = 0.0 samples = 1 value = [1, 0] 4515->4517 4519 gini = 0.0 samples = 1 value = [0, 1] 4518->4519 4520 gini = 0.0 samples = 7 value = [7, 0] 4518->4520 4523 education_secondary <= 0.5 gini = 0.493 samples = 77 value = [43, 34] 4522->4523 4570 marital_married <= 0.5 gini = 0.359 samples = 132 value = [101, 31] 4522->4570 4524 month_jun <= 0.5 gini = 0.383 samples = 31 value = [23, 8] 4523->4524 4537 job_services <= 0.5 gini = 0.491 samples = 46 value = [20, 26] 4523->4537 4525 balance <= -0.298 gini = 0.211 samples = 25 value = [22, 3] 4524->4525 4534 job_admin. <= 0.5 gini = 0.278 samples = 6 value = [1, 5] 4524->4534 4526 job_self-employed <= 0.5 gini = 0.153 samples = 24 value = [22, 2] 4525->4526 4533 gini = 0.0 samples = 1 value = [0, 1] 4525->4533 4527 week of the month_secondweek <= 0.5 gini = 0.083 samples = 23 value = [22, 1] 4526->4527 4532 gini = 0.0 samples = 1 value = [0, 1] 4526->4532 4528 gini = 0.0 samples = 20 value = [20, 0] 4527->4528 4529 housing_no <= 0.5 gini = 0.444 samples = 3 value = [2, 1] 4527->4529 4530 gini = 0.0 samples = 2 value = [2, 0] 4529->4530 4531 gini = 0.0 samples = 1 value = [0, 1] 4529->4531 4535 gini = 0.0 samples = 5 value = [0, 5] 4534->4535 4536 gini = 0.0 samples = 1 value = [1, 0] 4534->4536 4538 age <= -0.229 gini = 0.472 samples = 42 value = [16, 26] 4537->4538 4569 gini = 0.0 samples = 4 value = [4, 0] 4537->4569 4539 job_unemployed <= 0.5 gini = 0.375 samples = 24 value = [6, 18] 4538->4539 4554 duration <= 2.067 gini = 0.494 samples = 18 value = [10, 8] 4538->4554 4540 age <= -1.36 gini = 0.34 samples = 23 value = [5, 18] 4539->4540 4553 gini = 0.0 samples = 1 value = [1, 0] 4539->4553 4541 balance <= -0.415 gini = 0.5 samples = 6 value = [3, 3] 4540->4541 4546 balance <= -0.418 gini = 0.208 samples = 17 value = [2, 15] 4540->4546 4542 gini = 0.0 samples = 2 value = [0, 2] 4541->4542 4543 balance <= -0.309 gini = 0.375 samples = 4 value = [3, 1] 4541->4543 4544 gini = 0.0 samples = 3 value = [3, 0] 4543->4544 4545 gini = 0.0 samples = 1 value = [0, 1] 4543->4545 4547 gini = 0.0 samples = 1 value = [1, 0] 4546->4547 4548 balance <= -0.34 gini = 0.117 samples = 16 value = [1, 15] 4546->4548 4549 gini = 0.0 samples = 13 value = [0, 13] 4548->4549 4550 balance <= -0.316 gini = 0.444 samples = 3 value = [1, 2] 4548->4550 4551 gini = 0.0 samples = 1 value = [1, 0] 4550->4551 4552 gini = 0.0 samples = 2 value = [0, 2] 4550->4552 4555 balance <= -0.309 gini = 0.469 samples = 16 value = [10, 6] 4554->4555 4568 gini = 0.0 samples = 2 value = [0, 2] 4554->4568 4556 balance <= -0.425 gini = 0.408 samples = 14 value = [10, 4] 4555->4556 4567 gini = 0.0 samples = 2 value = [0, 2] 4555->4567 4557 gini = 0.0 samples = 1 value = [0, 1] 4556->4557 4558 job_management <= 0.5 gini = 0.355 samples = 13 value = [10, 3] 4556->4558 4559 job_technician <= 0.5 gini = 0.278 samples = 12 value = [10, 2] 4558->4559 4566 gini = 0.0 samples = 1 value = [0, 1] 4558->4566 4560 gini = 0.0 samples = 7 value = [7, 0] 4559->4560 4561 loan_yes <= 0.5 gini = 0.48 samples = 5 value = [3, 2] 4559->4561 4562 duration <= 1.745 gini = 0.444 samples = 3 value = [1, 2] 4561->4562 4565 gini = 0.0 samples = 2 value = [2, 0] 4561->4565 4563 gini = 0.0 samples = 1 value = [1, 0] 4562->4563 4564 gini = 0.0 samples = 2 value = [0, 2] 4562->4564 4571 balance <= -0.2 gini = 0.449 samples = 53 value = [35, 18] 4570->4571 4598 balance <= -0.21 gini = 0.275 samples = 79 value = [66, 13] 4570->4598 4572 duration <= 1.558 gini = 0.153 samples = 12 value = [11, 1] 4571->4572 4577 duration <= 1.986 gini = 0.485 samples = 41 value = [24, 17] 4571->4577 4573 marital_single <= 0.5 gini = 0.5 samples = 2 value = [1, 1] 4572->4573 4576 gini = 0.0 samples = 10 value = [10, 0] 4572->4576 4574 gini = 0.0 samples = 1 value = [1, 0] 4573->4574 4575 gini = 0.0 samples = 1 value = [0, 1] 4573->4575 4578 balance <= -0.108 gini = 0.444 samples = 33 value = [22, 11] 4577->4578 4593 duration <= 2.104 gini = 0.375 samples = 8 value = [2, 6] 4577->4593 4579 job_technician <= 0.5 gini = 0.375 samples = 8 value = [2, 6] 4578->4579 4584 age <= 0.1 gini = 0.32 samples = 25 value = [20, 5] 4578->4584 4580 gini = 0.0 samples = 5 value = [0, 5] 4579->4580 4581 duration <= 1.551 gini = 0.444 samples = 3 value = [2, 1] 4579->4581 4582 gini = 0.0 samples = 1 value = [0, 1] 4581->4582 4583 gini = 0.0 samples = 2 value = [2, 0] 4581->4583 4585 age <= -1.265 gini = 0.117 samples = 16 value = [15, 1] 4584->4585 4588 duration <= 1.673 gini = 0.494 samples = 9 value = [5, 4] 4584->4588 4586 gini = 0.0 samples = 1 value = [0, 1] 4585->4586 4587 gini = 0.0 samples = 15 value = [15, 0] 4585->4587 4589 gini = 0.0 samples = 4 value = [4, 0] 4588->4589 4590 job_services <= 0.5 gini = 0.32 samples = 5 value = [1, 4] 4588->4590 4591 gini = 0.0 samples = 4 value = [0, 4] 4590->4591 4592 gini = 0.0 samples = 1 value = [1, 0] 4590->4592 4594 gini = 0.0 samples = 5 value = [0, 5] 4593->4594 4595 duration <= 2.125 gini = 0.444 samples = 3 value = [2, 1] 4593->4595 4596 gini = 0.0 samples = 2 value = [2, 0] 4595->4596 4597 gini = 0.0 samples = 1 value = [0, 1] 4595->4597 4599 week of the month_thirdweek <= 0.5 gini = 0.48 samples = 15 value = [9, 6] 4598->4599 4604 duration <= 1.939 gini = 0.195 samples = 64 value = [57, 7] 4598->4604 4600 gini = 0.0 samples = 8 value = [8, 0] 4599->4600 4601 balance <= -0.272 gini = 0.245 samples = 7 value = [1, 6] 4599->4601 4602 gini = 0.0 samples = 1 value = [1, 0] 4601->4602 4603 gini = 0.0 samples = 6 value = [0, 6] 4601->4603 4605 job_self-employed <= 0.5 gini = 0.083 samples = 46 value = [44, 2] 4604->4605 4612 duration <= 1.956 gini = 0.401 samples = 18 value = [13, 5] 4604->4612 4606 education_unknown <= 0.5 gini = 0.043 samples = 45 value = [44, 1] 4605->4606 4611 gini = 0.0 samples = 1 value = [0, 1] 4605->4611 4607 gini = 0.0 samples = 42 value = [42, 0] 4606->4607 4608 campaign <= -0.247 gini = 0.444 samples = 3 value = [2, 1] 4606->4608 4609 gini = 0.0 samples = 2 value = [2, 0] 4608->4609 4610 gini = 0.0 samples = 1 value = [0, 1] 4608->4610 4613 gini = 0.0 samples = 2 value = [0, 2] 4612->4613 4614 age <= -0.606 gini = 0.305 samples = 16 value = [13, 3] 4612->4614 4615 week of the month_secondweek <= 0.5 gini = 0.444 samples = 3 value = [1, 2] 4614->4615 4618 balance <= 1.293 gini = 0.142 samples = 13 value = [12, 1] 4614->4618 4616 gini = 0.0 samples = 2 value = [0, 2] 4615->4616 4617 gini = 0.0 samples = 1 value = [1, 0] 4615->4617 4619 gini = 0.0 samples = 11 value = [11, 0] 4618->4619 4620 month_jun <= 0.5 gini = 0.5 samples = 2 value = [1, 1] 4618->4620 4621 gini = 0.0 samples = 1 value = [1, 0] 4620->4621 4622 gini = 0.0 samples = 1 value = [0, 1] 4620->4622 4624 month_may <= 0.5 gini = 0.213 samples = 91 value = [11, 80] 4623->4624 4649 duration <= 1.679 gini = 0.496 samples = 11 value = [6, 5] 4623->4649 4625 week of the month_firstweek <= 0.5 gini = 0.114 samples = 66 value = [4, 62] 4624->4625 4636 education_unknown <= 0.5 gini = 0.403 samples = 25 value = [7, 18] 4624->4636 4626 age <= -1.454 gini = 0.038 samples = 52 value = [1, 51] 4625->4626 4631 balance <= -0.246 gini = 0.337 samples = 14 value = [3, 11] 4625->4631 4627 balance <= 0.038 gini = 0.444 samples = 3 value = [1, 2] 4626->4627 4630 gini = 0.0 samples = 49 value = [0, 49] 4626->4630 4628 gini = 0.0 samples = 1 value = [1, 0] 4627->4628 4629 gini = 0.0 samples = 2 value = [0, 2] 4627->4629 4632 housing_yes <= 0.5 gini = 0.375 samples = 4 value = [3, 1] 4631->4632 4635 gini = 0.0 samples = 10 value = [0, 10] 4631->4635 4633 gini = 0.0 samples = 1 value = [0, 1] 4632->4633 4634 gini = 0.0 samples = 3 value = [3, 0] 4632->4634 4637 marital_married <= 0.5 gini = 0.34 samples = 23 value = [5, 18] 4636->4637 4648 gini = 0.0 samples = 2 value = [2, 0] 4636->4648 4638 gini = 0.0 samples = 11 value = [0, 11] 4637->4638 4639 week of the month_forthweek <= 0.5 gini = 0.486 samples = 12 value = [5, 7] 4637->4639 4640 housing_no <= 0.5 gini = 0.42 samples = 10 value = [3, 7] 4639->4640 4647 gini = 0.0 samples = 2 value = [2, 0] 4639->4647 4641 age <= 1.466 gini = 0.5 samples = 6 value = [3, 3] 4640->4641 4646 gini = 0.0 samples = 4 value = [0, 4] 4640->4646 4642 age <= -0.842 gini = 0.375 samples = 4 value = [3, 1] 4641->4642 4645 gini = 0.0 samples = 2 value = [0, 2] 4641->4645 4643 gini = 0.0 samples = 1 value = [0, 1] 4642->4643 4644 gini = 0.0 samples = 3 value = [3, 0] 4642->4644 4650 duration <= 1.401 gini = 0.444 samples = 9 value = [6, 3] 4649->4650 4657 gini = 0.0 samples = 2 value = [0, 2] 4649->4657 4651 balance <= 1.85 gini = 0.48 samples = 5 value = [2, 3] 4650->4651 4656 gini = 0.0 samples = 4 value = [4, 0] 4650->4656 4652 age <= 0.289 gini = 0.444 samples = 3 value = [2, 1] 4651->4652 4655 gini = 0.0 samples = 2 value = [0, 2] 4651->4655 4653 gini = 0.0 samples = 1 value = [0, 1] 4652->4653 4654 gini = 0.0 samples = 2 value = [2, 0] 4652->4654 4659 month_nov <= 0.5 gini = 0.479 samples = 966 value = [385, 581] 4658->4659 5176 duration <= 2.452 gini = 0.499 samples = 362 value = [188, 174] 4658->5176 4660 poutcome_success <= 0.5 gini = 0.47 samples = 846 value = [319, 527] 4659->4660 5119 duration <= 4.756 gini = 0.495 samples = 120 value = [66, 54] 4659->5119 4661 week of the month_secondweek <= 0.5 gini = 0.476 samples = 800 value = [312, 488] 4660->4661 5098 job_technician <= 0.5 gini = 0.258 samples = 46 value = [7, 39] 4660->5098 4662 week of the month_forthweek <= 0.5 gini = 0.488 samples = 591 value = [249, 342] 4661->4662 4989 education_unknown <= 0.5 gini = 0.421 samples = 209 value = [63, 146] 4661->4989 4663 age <= -0.418 gini = 0.496 samples = 396 value = [181, 215] 4662->4663 4884 month_apr <= 0.5 gini = 0.454 samples = 195 value = [68, 127] 4662->4884 4664 duration <= 2.444 gini = 0.475 samples = 178 value = [69, 109] 4663->4664 4759 poutcome_failure <= 0.5 gini = 0.5 samples = 218 value = [112, 106] 4663->4759 4665 balance <= 0.331 gini = 0.495 samples = 42 value = [23, 19] 4664->4665 4688 balance <= -0.402 gini = 0.448 samples = 136 value = [46, 90] 4664->4688 4666 balance <= -0.273 gini = 0.478 samples = 38 value = [23, 15] 4665->4666 4687 gini = 0.0 samples = 4 value = [0, 4] 4665->4687 4667 balance <= -0.447 gini = 0.499 samples = 25 value = [12, 13] 4666->4667 4682 month_may <= 0.5 gini = 0.26 samples = 13 value = [11, 2] 4666->4682 4668 age <= -1.218 gini = 0.346 samples = 9 value = [7, 2] 4667->4668 4671 job_services <= 0.5 gini = 0.43 samples = 16 value = [5, 11] 4667->4671 4669 gini = 0.0 samples = 2 value = [0, 2] 4668->4669 4670 gini = 0.0 samples = 7 value = [7, 0] 4668->4670 4672 contact_cellular <= 0.5 gini = 0.337 samples = 14 value = [3, 11] 4671->4672 4681 gini = 0.0 samples = 2 value = [2, 0] 4671->4681 4673 gini = 0.0 samples = 1 value = [1, 0] 4672->4673 4674 campaign <= 0.883 gini = 0.26 samples = 13 value = [2, 11] 4672->4674 4675 job_self-employed <= 0.5 gini = 0.153 samples = 12 value = [1, 11] 4674->4675 4680 gini = 0.0 samples = 1 value = [1, 0] 4674->4680 4676 gini = 0.0 samples = 10 value = [0, 10] 4675->4676 4677 education_tertiary <= 0.5 gini = 0.5 samples = 2 value = [1, 1] 4675->4677 4678 gini = 0.0 samples = 1 value = [1, 0] 4677->4678 4679 gini = 0.0 samples = 1 value = [0, 1] 4677->4679 4683 gini = 0.0 samples = 10 value = [10, 0] 4682->4683 4684 age <= -1.218 gini = 0.444 samples = 3 value = [1, 2] 4682->4684 4685 gini = 0.0 samples = 1 value = [1, 0] 4684->4685 4686 gini = 0.0 samples = 2 value = [0, 2] 4684->4686 4689 job_technician <= 0.5 gini = 0.213 samples = 33 value = [4, 29] 4688->4689 4702 job_blue-collar <= 0.5 gini = 0.483 samples = 103 value = [42, 61] 4688->4702 4690 balance <= -0.561 gini = 0.121 samples = 31 value = [2, 29] 4689->4690 4701 gini = 0.0 samples = 2 value = [2, 0] 4689->4701 4691 week of the month_firstweek <= 0.5 gini = 0.444 samples = 3 value = [1, 2] 4690->4691 4694 job_admin. <= 0.5 gini = 0.069 samples = 28 value = [1, 27] 4690->4694 4692 gini = 0.0 samples = 2 value = [0, 2] 4691->4692 4693 gini = 0.0 samples = 1 value = [1, 0] 4691->4693 4695 gini = 0.0 samples = 22 value = [0, 22] 4694->4695 4696 month_jul <= 0.5 gini = 0.278 samples = 6 value = [1, 5] 4694->4696 4697 gini = 0.0 samples = 4 value = [0, 4] 4696->4697 4698 campaign <= 0.076 gini = 0.5 samples = 2 value = [1, 1] 4696->4698 4699 gini = 0.0 samples = 1 value = [1, 0] 4698->4699 4700 gini = 0.0 samples = 1 value = [0, 1] 4698->4700 4703 job_entrepreneur <= 0.5 gini = 0.455 samples = 80 value = [28, 52] 4702->4703 4746 campaign <= -0.085 gini = 0.476 samples = 23 value = [14, 9] 4702->4746 4704 job_student <= 0.5 gini = 0.435 samples = 75 value = [24, 51] 4703->4704 4743 month_feb <= 0.5 gini = 0.32 samples = 5 value = [4, 1] 4703->4743 4705 balance <= -0.312 gini = 0.408 samples = 70 value = [20, 50] 4704->4705 4740 balance <= 0.893 gini = 0.32 samples = 5 value = [4, 1] 4704->4740 4706 month_apr <= 0.5 gini = 0.5 samples = 16 value = [8, 8] 4705->4706 4715 balance <= -0.207 gini = 0.346 samples = 54 value = [12, 42] 4705->4715 4707 duration <= 3.015 gini = 0.473 samples = 13 value = [5, 8] 4706->4707 4714 gini = 0.0 samples = 3 value = [3, 0] 4706->4714 4708 gini = 0.0 samples = 5 value = [0, 5] 4707->4708 4709 duration <= 4.842 gini = 0.469 samples = 8 value = [5, 3] 4707->4709 4710 balance <= -0.342 gini = 0.278 samples = 6 value = [5, 1] 4709->4710 4713 gini = 0.0 samples = 2 value = [0, 2] 4709->4713 4711 gini = 0.0 samples = 5 value = [5, 0] 4710->4711 4712 gini = 0.0 samples = 1 value = [0, 1] 4710->4712 4716 gini = 0.0 samples = 16 value = [0, 16] 4715->4716 4717 poutcome_other <= 0.5 gini = 0.432 samples = 38 value = [12, 26] 4715->4717 4718 age <= -0.7 gini = 0.401 samples = 36 value = [10, 26] 4717->4718 4739 gini = 0.0 samples = 2 value = [2, 0] 4717->4739 4719 month_jun <= 0.5 gini = 0.32 samples = 30 value = [6, 24] 4718->4719 4734 duration <= 3.156 gini = 0.444 samples = 6 value = [4, 2] 4718->4734 4720 balance <= 2.445 gini = 0.285 samples = 29 value = [5, 24] 4719->4720 4733 gini = 0.0 samples = 1 value = [1, 0] 4719->4733 4721 age <= -1.171 gini = 0.245 samples = 28 value = [4, 24] 4720->4721 4732 gini = 0.0 samples = 1 value = [1, 0] 4720->4732 4722 gini = 0.0 samples = 10 value = [0, 10] 4721->4722 4723 age <= -0.983 gini = 0.346 samples = 18 value = [4, 14] 4721->4723 4724 gini = 0.0 samples = 2 value = [2, 0] 4723->4724 4725 month_jul <= 0.5 gini = 0.219 samples = 16 value = [2, 14] 4723->4725 4726 gini = 0.0 samples = 11 value = [0, 11] 4725->4726 4727 campaign <= -0.408 gini = 0.48 samples = 5 value = [2, 3] 4725->4727 4728 duration <= 2.518 gini = 0.444 samples = 3 value = [2, 1] 4727->4728 4731 gini = 0.0 samples = 2 value = [0, 2] 4727->4731 4729 gini = 0.0 samples = 1 value = [0, 1] 4728->4729 4730 gini = 0.0 samples = 2 value = [2, 0] 4728->4730 4735 month_jul <= 0.5 gini = 0.444 samples = 3 value = [1, 2] 4734->4735 4738 gini = 0.0 samples = 3 value = [3, 0] 4734->4738 4736 gini = 0.0 samples = 2 value = [0, 2] 4735->4736 4737 gini = 0.0 samples = 1 value = [1, 0] 4735->4737 4741 gini = 0.0 samples = 4 value = [4, 0] 4740->4741 4742 gini = 0.0 samples = 1 value = [0, 1] 4740->4742 4744 gini = 0.0 samples = 4 value = [4, 0] 4743->4744 4745 gini = 0.0 samples = 1 value = [0, 1] 4743->4745 4747 duration <= 4.362 gini = 0.492 samples = 16 value = [7, 9] 4746->4747 4758 gini = 0.0 samples = 7 value = [7, 0] 4746->4758 4748 balance <= -0.321 gini = 0.426 samples = 13 value = [4, 9] 4747->4748 4757 gini = 0.0 samples = 3 value = [3, 0] 4747->4757 4749 gini = 0.0 samples = 4 value = [0, 4] 4748->4749 4750 balance <= -0.266 gini = 0.494 samples = 9 value = [4, 5] 4748->4750 4751 gini = 0.0 samples = 2 value = [2, 0] 4750->4751 4752 week of the month_firstweek <= 0.5 gini = 0.408 samples = 7 value = [2, 5] 4750->4752 4753 gini = 0.0 samples = 4 value = [0, 4] 4752->4753 4754 month_jun <= 0.5 gini = 0.444 samples = 3 value = [2, 1] 4752->4754 4755 gini = 0.0 samples = 2 value = [2, 0] 4754->4755 4756 gini = 0.0 samples = 1 value = [0, 1] 4754->4756 4760 age <= 0.712 gini = 0.499 samples = 188 value = [89, 99] 4759->4760 4873 marital_married <= 0.5 gini = 0.358 samples = 30 value = [23, 7] 4759->4873 4761 month_may <= 0.5 gini = 0.493 samples = 100 value = [56, 44] 4760->4761 4824 age <= 2.549 gini = 0.469 samples = 88 value = [33, 55] 4760->4824 4762 duration <= 3.915 gini = 0.472 samples = 81 value = [50, 31] 4761->4762 4813 loan_yes <= 0.5 gini = 0.432 samples = 19 value = [6, 13] 4761->4813 4763 education_tertiary <= 0.5 gini = 0.428 samples = 58 value = [40, 18] 4762->4763 4800 duration <= 6.789 gini = 0.491 samples = 23 value = [10, 13] 4762->4800 4764 job_housemaid <= 0.5 gini = 0.355 samples = 39 value = [30, 9] 4763->4764 4785 balance <= -0.026 gini = 0.499 samples = 19 value = [10, 9] 4763->4785 4765 month_jun <= 0.5 gini = 0.332 samples = 38 value = [30, 8] 4764->4765 4784 gini = 0.0 samples = 1 value = [0, 1] 4764->4784 4766 balance <= -0.444 gini = 0.307 samples = 37 value = [30, 7] 4765->4766 4783 gini = 0.0 samples = 1 value = [0, 1] 4765->4783 4767 gini = 0.0 samples = 7 value = [7, 0] 4766->4767 4768 balance <= -0.37 gini = 0.358 samples = 30 value = [23, 7] 4766->4768 4769 age <= 0.241 gini = 0.5 samples = 8 value = [4, 4] 4768->4769 4774 campaign <= -0.408 gini = 0.236 samples = 22 value = [19, 3] 4768->4774 4770 job_entrepreneur <= 0.5 gini = 0.32 samples = 5 value = [1, 4] 4769->4770 4773 gini = 0.0 samples = 3 value = [3, 0] 4769->4773 4771 gini = 0.0 samples = 4 value = [0, 4] 4770->4771 4772 gini = 0.0 samples = 1 value = [1, 0] 4770->4772 4775 balance <= 0.066 gini = 0.42 samples = 10 value = [7, 3] 4774->4775 4782 gini = 0.0 samples = 12 value = [12, 0] 4774->4782 4776 gini = 0.0 samples = 5 value = [5, 0] 4775->4776 4777 age <= 0.241 gini = 0.48 samples = 5 value = [2, 3] 4775->4777 4778 balance <= 0.674 gini = 0.444 samples = 3 value = [2, 1] 4777->4778 4781 gini = 0.0 samples = 2 value = [0, 2] 4777->4781 4779 gini = 0.0 samples = 1 value = [0, 1] 4778->4779 4780 gini = 0.0 samples = 2 value = [2, 0] 4778->4780 4786 marital_divorced <= 0.5 gini = 0.473 samples = 13 value = [5, 8] 4785->4786 4795 week of the month_firstweek <= 0.5 gini = 0.278 samples = 6 value = [5, 1] 4785->4795 4787 month_aug <= 0.5 gini = 0.397 samples = 11 value = [3, 8] 4786->4787 4794 gini = 0.0 samples = 2 value = [2, 0] 4786->4794 4788 gini = 0.0 samples = 6 value = [0, 6] 4787->4788 4789 balance <= -0.34 gini = 0.48 samples = 5 value = [3, 2] 4787->4789 4790 gini = 0.0 samples = 2 value = [2, 0] 4789->4790 4791 age <= 0.383 gini = 0.444 samples = 3 value = [1, 2] 4789->4791 4792 gini = 0.0 samples = 2 value = [0, 2] 4791->4792 4793 gini = 0.0 samples = 1 value = [1, 0] 4791->4793 4796 gini = 0.0 samples = 4 value = [4, 0] 4795->4796 4797 age <= -0.229 gini = 0.5 samples = 2 value = [1, 1] 4795->4797 4798 gini = 0.0 samples = 1 value = [1, 0] 4797->4798 4799 gini = 0.0 samples = 1 value = [0, 1] 4797->4799 4801 campaign <= -0.085 gini = 0.401 samples = 18 value = [5, 13] 4800->4801 4812 gini = 0.0 samples = 5 value = [5, 0] 4800->4812 4802 job_self-employed <= 0.5 gini = 0.165 samples = 11 value = [1, 10] 4801->4802 4805 job_management <= 0.5 gini = 0.49 samples = 7 value = [4, 3] 4801->4805 4803 gini = 0.0 samples = 10 value = [0, 10] 4802->4803 4804 gini = 0.0 samples = 1 value = [1, 0] 4802->4804 4806 month_feb <= 0.5 gini = 0.48 samples = 5 value = [2, 3] 4805->4806 4811 gini = 0.0 samples = 2 value = [2, 0] 4805->4811 4807 campaign <= 0.56 gini = 0.444 samples = 3 value = [2, 1] 4806->4807 4810 gini = 0.0 samples = 2 value = [0, 2] 4806->4810 4808 gini = 0.0 samples = 2 value = [2, 0] 4807->4808 4809 gini = 0.0 samples = 1 value = [0, 1] 4807->4809 4814 duration <= 5.098 gini = 0.305 samples = 16 value = [3, 13] 4813->4814 4823 gini = 0.0 samples = 3 value = [3, 0] 4813->4823 4815 age <= 0.336 gini = 0.231 samples = 15 value = [2, 13] 4814->4815 4822 gini = 0.0 samples = 1 value = [1, 0] 4814->4822 4816 duration <= 2.221 gini = 0.133 samples = 14 value = [1, 13] 4815->4816 4821 gini = 0.0 samples = 1 value = [1, 0] 4815->4821 4817 week of the month_firstweek <= 0.5 gini = 0.5 samples = 2 value = [1, 1] 4816->4817 4820 gini = 0.0 samples = 12 value = [0, 12] 4816->4820 4818 gini = 0.0 samples = 1 value = [1, 0] 4817->4818 4819 gini = 0.0 samples = 1 value = [0, 1] 4817->4819 4825 month_feb <= 0.5 gini = 0.45 samples = 82 value = [28, 54] 4824->4825 4868 poutcome_other <= 0.5 gini = 0.278 samples = 6 value = [5, 1] 4824->4868 4826 month_oct <= 0.5 gini = 0.406 samples = 67 value = [19, 48] 4825->4826 4859 balance <= 0.46 gini = 0.48 samples = 15 value = [9, 6] 4825->4859 4827 job_retired <= 0.5 gini = 0.379 samples = 63 value = [16, 47] 4826->4827 4856 poutcome_other <= 0.5 gini = 0.375 samples = 4 value = [3, 1] 4826->4856 4828 balance <= 1.987 gini = 0.426 samples = 52 value = [16, 36] 4827->4828 4855 gini = 0.0 samples = 11 value = [0, 11] 4827->4855 4829 job_technician <= 0.5 gini = 0.403 samples = 50 value = [14, 36] 4828->4829 4854 gini = 0.0 samples = 2 value = [2, 0] 4828->4854 4830 duration <= 2.824 gini = 0.434 samples = 44 value = [14, 30] 4829->4830 4853 gini = 0.0 samples = 6 value = [0, 6] 4829->4853 4831 age <= 1.56 gini = 0.498 samples = 17 value = [8, 9] 4830->4831 4840 duration <= 5.007 gini = 0.346 samples = 27 value = [6, 21] 4830->4840 4832 duration <= 2.438 gini = 0.397 samples = 11 value = [8, 3] 4831->4832 4839 gini = 0.0 samples = 6 value = [0, 6] 4831->4839 4833 balance <= -0.047 gini = 0.48 samples = 5 value = [2, 3] 4832->4833 4838 gini = 0.0 samples = 6 value = [6, 0] 4832->4838 4834 job_services <= 0.5 gini = 0.444 samples = 3 value = [2, 1] 4833->4834 4837 gini = 0.0 samples = 2 value = [0, 2] 4833->4837 4835 gini = 0.0 samples = 2 value = [2, 0] 4834->4835 4836 gini = 0.0 samples = 1 value = [0, 1] 4834->4836 4841 marital_married <= 0.5 gini = 0.278 samples = 24 value = [4, 20] 4840->4841 4850 contact_cellular <= 0.5 gini = 0.444 samples = 3 value = [2, 1] 4840->4850 4842 month_jul <= 0.5 gini = 0.5 samples = 4 value = [2, 2] 4841->4842 4845 campaign <= 0.238 gini = 0.18 samples = 20 value = [2, 18] 4841->4845 4843 gini = 0.0 samples = 2 value = [0, 2] 4842->4843 4844 gini = 0.0 samples = 2 value = [2, 0] 4842->4844 4846 gini = 0.0 samples = 14 value = [0, 14] 4845->4846 4847 campaign <= 0.883 gini = 0.444 samples = 6 value = [2, 4] 4845->4847 4848 gini = 0.0 samples = 2 value = [2, 0] 4847->4848 4849 gini = 0.0 samples = 4 value = [0, 4] 4847->4849 4851 gini = 0.0 samples = 1 value = [0, 1] 4850->4851 4852 gini = 0.0 samples = 2 value = [2, 0] 4850->4852 4857 gini = 0.0 samples = 3 value = [3, 0] 4856->4857 4858 gini = 0.0 samples = 1 value = [0, 1] 4856->4858 4860 job_unemployed <= 0.5 gini = 0.426 samples = 13 value = [9, 4] 4859->4860 4867 gini = 0.0 samples = 2 value = [0, 2] 4859->4867 4861 balance <= -0.207 gini = 0.5 samples = 8 value = [4, 4] 4860->4861 4866 gini = 0.0 samples = 5 value = [5, 0] 4860->4866 4862 duration <= 3.086 gini = 0.444 samples = 6 value = [4, 2] 4861->4862 4865 gini = 0.0 samples = 2 value = [0, 2] 4861->4865 4863 gini = 0.0 samples = 2 value = [0, 2] 4862->4863 4864 gini = 0.0 samples = 4 value = [4, 0] 4862->4864 4869 gini = 0.0 samples = 4 value = [4, 0] 4868->4869 4870 campaign <= -0.408 gini = 0.5 samples = 2 value = [1, 1] 4868->4870 4871 gini = 0.0 samples = 1 value = [1, 0] 4870->4871 4872 gini = 0.0 samples = 1 value = [0, 1] 4870->4872 4874 duration <= 3.112 gini = 0.496 samples = 11 value = [6, 5] 4873->4874 4877 duration <= 6.195 gini = 0.188 samples = 19 value = [17, 2] 4873->4877 4875 gini = 0.0 samples = 6 value = [6, 0] 4874->4875 4876 gini = 0.0 samples = 5 value = [0, 5] 4874->4876 4878 duration <= 2.397 gini = 0.105 samples = 18 value = [17, 1] 4877->4878 4883 gini = 0.0 samples = 1 value = [0, 1] 4877->4883 4879 month_apr <= 0.5 gini = 0.5 samples = 2 value = [1, 1] 4878->4879 4882 gini = 0.0 samples = 16 value = [16, 0] 4878->4882 4880 gini = 0.0 samples = 1 value = [0, 1] 4879->4880 4881 gini = 0.0 samples = 1 value = [1, 0] 4879->4881 4885 balance <= -0.441 gini = 0.47 samples = 180 value = [68, 112] 4884->4885 4988 gini = 0.0 samples = 15 value = [0, 15] 4884->4988 4886 age <= -0.324 gini = 0.497 samples = 39 value = [21, 18] 4885->4886 4907 housing_no <= 0.5 gini = 0.444 samples = 141 value = [47, 94] 4885->4907 4887 duration <= 4.618 gini = 0.245 samples = 14 value = [12, 2] 4886->4887 4894 job_retired <= 0.5 gini = 0.461 samples = 25 value = [9, 16] 4886->4894 4888 loan_yes <= 0.5 gini = 0.142 samples = 13 value = [12, 1] 4887->4888 4893 gini = 0.0 samples = 1 value = [0, 1] 4887->4893 4889 gini = 0.0 samples = 10 value = [10, 0] 4888->4889 4890 balance <= -0.456 gini = 0.444 samples = 3 value = [2, 1] 4888->4890 4891 gini = 0.0 samples = 2 value = [2, 0] 4890->4891 4892 gini = 0.0 samples = 1 value = [0, 1] 4890->4892 4895 balance <= -0.446 gini = 0.397 samples = 22 value = [6, 16] 4894->4895 4906 gini = 0.0 samples = 3 value = [3, 0] 4894->4906 4896 duration <= 3.867 gini = 0.32 samples = 20 value = [4, 16] 4895->4896 4905 gini = 0.0 samples = 2 value = [2, 0] 4895->4905 4897 job_technician <= 0.5 gini = 0.124 samples = 15 value = [1, 14] 4896->4897 4902 age <= 1.183 gini = 0.48 samples = 5 value = [3, 2] 4896->4902 4898 gini = 0.0 samples = 12 value = [0, 12] 4897->4898 4899 marital_married <= 0.5 gini = 0.444 samples = 3 value = [1, 2] 4897->4899 4900 gini = 0.0 samples = 2 value = [0, 2] 4899->4900 4901 gini = 0.0 samples = 1 value = [1, 0] 4899->4901 4903 gini = 0.0 samples = 2 value = [0, 2] 4902->4903 4904 gini = 0.0 samples = 3 value = [3, 0] 4902->4904 4908 job_housemaid <= 0.5 gini = 0.32 samples = 45 value = [9, 36] 4907->4908 4931 duration <= 2.255 gini = 0.478 samples = 96 value = [38, 58] 4907->4931 4909 age <= 2.031 gini = 0.278 samples = 42 value = [7, 35] 4908->4909 4928 campaign <= 0.399 gini = 0.444 samples = 3 value = [2, 1] 4908->4928 4910 duration <= 3.659 gini = 0.25 samples = 41 value = [6, 35] 4909->4910 4927 gini = 0.0 samples = 1 value = [1, 0] 4909->4927 4911 poutcome_unknown <= 0.5 gini = 0.337 samples = 28 value = [6, 22] 4910->4911 4926 gini = 0.0 samples = 13 value = [0, 13] 4910->4926 4912 gini = 0.0 samples = 1 value = [1, 0] 4911->4912 4913 duration <= 3.504 gini = 0.302 samples = 27 value = [5, 22] 4911->4913 4914 age <= 0.43 gini = 0.26 samples = 26 value = [4, 22] 4913->4914 4925 gini = 0.0 samples = 1 value = [1, 0] 4913->4925 4915 balance <= -0.345 gini = 0.346 samples = 18 value = [4, 14] 4914->4915 4924 gini = 0.0 samples = 8 value = [0, 8] 4914->4924 4916 gini = 0.0 samples = 7 value = [0, 7] 4915->4916 4917 balance <= -0.31 gini = 0.463 samples = 11 value = [4, 7] 4915->4917 4918 campaign <= -0.085 gini = 0.375 samples = 4 value = [3, 1] 4917->4918 4921 duration <= 3.005 gini = 0.245 samples = 7 value = [1, 6] 4917->4921 4919 gini = 0.0 samples = 1 value = [0, 1] 4918->4919 4920 gini = 0.0 samples = 3 value = [3, 0] 4918->4920 4922 gini = 0.0 samples = 6 value = [0, 6] 4921->4922 4923 gini = 0.0 samples = 1 value = [1, 0] 4921->4923 4929 gini = 0.0 samples = 2 value = [2, 0] 4928->4929 4930 gini = 0.0 samples = 1 value = [0, 1] 4928->4930 4932 gini = 0.0 samples = 8 value = [0, 8] 4931->4932 4933 duration <= 2.76 gini = 0.491 samples = 88 value = [38, 50] 4931->4933 4934 age <= 3.349 gini = 0.452 samples = 29 value = [19, 10] 4933->4934 4951 duration <= 3.417 gini = 0.437 samples = 59 value = [19, 40] 4933->4951 4935 age <= 0.995 gini = 0.417 samples = 27 value = [19, 8] 4934->4935 4950 gini = 0.0 samples = 2 value = [0, 2] 4934->4950 4936 balance <= -0.24 gini = 0.472 samples = 21 value = [13, 8] 4935->4936 4949 gini = 0.0 samples = 6 value = [6, 0] 4935->4949 4937 job_admin. <= 0.5 gini = 0.219 samples = 8 value = [7, 1] 4936->4937 4940 duration <= 2.312 gini = 0.497 samples = 13 value = [6, 7] 4936->4940 4938 gini = 0.0 samples = 7 value = [7, 0] 4937->4938 4939 gini = 0.0 samples = 1 value = [0, 1] 4937->4939 4941 gini = 0.0 samples = 3 value = [3, 0] 4940->4941 4942 duration <= 2.562 gini = 0.42 samples = 10 value = [3, 7] 4940->4942 4943 gini = 0.0 samples = 5 value = [0, 5] 4942->4943 4944 age <= 0.383 gini = 0.48 samples = 5 value = [3, 2] 4942->4944 4945 marital_single <= 0.5 gini = 0.444 samples = 3 value = [1, 2] 4944->4945 4948 gini = 0.0 samples = 2 value = [2, 0] 4944->4948 4946 gini = 0.0 samples = 2 value = [0, 2] 4945->4946 4947 gini = 0.0 samples = 1 value = [1, 0] 4945->4947 4952 month_oct <= 0.5 gini = 0.159 samples = 23 value = [2, 21] 4951->4952 4961 marital_single <= 0.5 gini = 0.498 samples = 36 value = [17, 19] 4951->4961 4953 job_blue-collar <= 0.5 gini = 0.091 samples = 21 value = [1, 20] 4952->4953 4958 contact_telephone <= 0.5 gini = 0.5 samples = 2 value = [1, 1] 4952->4958 4954 gini = 0.0 samples = 19 value = [0, 19] 4953->4954 4955 loan_yes <= 0.5 gini = 0.5 samples = 2 value = [1, 1] 4953->4955 4956 gini = 0.0 samples = 1 value = [0, 1] 4955->4956 4957 gini = 0.0 samples = 1 value = [1, 0] 4955->4957 4959 gini = 0.0 samples = 1 value = [1, 0] 4958->4959 4960 gini = 0.0 samples = 1 value = [0, 1] 4958->4960 4962 job_retired <= 0.5 gini = 0.472 samples = 21 value = [13, 8] 4961->4962 4975 balance <= 2.014 gini = 0.391 samples = 15 value = [4, 11] 4961->4975 4963 job_admin. <= 0.5 gini = 0.401 samples = 18 value = [13, 5] 4962->4963 4974 gini = 0.0 samples = 3 value = [0, 3] 4962->4974 4964 duration <= 4.067 gini = 0.305 samples = 16 value = [13, 3] 4963->4964 4973 gini = 0.0 samples = 2 value = [0, 2] 4963->4973 4965 education_secondary <= 0.5 gini = 0.444 samples = 9 value = [6, 3] 4964->4965 4972 gini = 0.0 samples = 7 value = [7, 0] 4964->4972 4966 campaign <= -0.085 gini = 0.48 samples = 5 value = [2, 3] 4965->4966 4971 gini = 0.0 samples = 4 value = [4, 0] 4965->4971 4967 gini = 0.0 samples = 2 value = [0, 2] 4966->4967 4968 marital_divorced <= 0.5 gini = 0.444 samples = 3 value = [2, 1] 4966->4968 4969 gini = 0.0 samples = 2 value = [2, 0] 4968->4969 4970 gini = 0.0 samples = 1 value = [0, 1] 4968->4970 4976 month_dec <= 0.5 gini = 0.337 samples = 14 value = [3, 11] 4975->4976 4987 gini = 0.0 samples = 1 value = [1, 0] 4975->4987 4977 age <= 0.336 gini = 0.26 samples = 13 value = [2, 11] 4976->4977 4986 gini = 0.0 samples = 1 value = [1, 0] 4976->4986 4978 balance <= -0.359 gini = 0.165 samples = 11 value = [1, 10] 4977->4978 4983 age <= 0.806 gini = 0.5 samples = 2 value = [1, 1] 4977->4983 4979 job_technician <= 0.5 gini = 0.5 samples = 2 value = [1, 1] 4978->4979 4982 gini = 0.0 samples = 9 value = [0, 9] 4978->4982 4980 gini = 0.0 samples = 1 value = [1, 0] 4979->4980 4981 gini = 0.0 samples = 1 value = [0, 1] 4979->4981 4984 gini = 0.0 samples = 1 value = [1, 0] 4983->4984 4985 gini = 0.0 samples = 1 value = [0, 1] 4983->4985 4990 marital_married <= 0.5 gini = 0.411 samples = 204 value = [59, 145] 4989->4990 5095 duration <= 2.362 gini = 0.32 samples = 5 value = [4, 1] 4989->5095 4991 job_technician <= 0.5 gini = 0.314 samples = 87 value = [17, 70] 4990->4991 5030 age <= -0.135 gini = 0.46 samples = 117 value = [42, 75] 4990->5030 4992 balance <= 2.592 gini = 0.245 samples = 70 value = [10, 60] 4991->4992 5019 poutcome_unknown <= 0.5 gini = 0.484 samples = 17 value = [7, 10] 4991->5019 4993 job_entrepreneur <= 0.5 gini = 0.227 samples = 69 value = [9, 60] 4992->4993 5018 gini = 0.0 samples = 1 value = [1, 0] 4992->5018 4994 balance <= -0.105 gini = 0.208 samples = 68 value = [8, 60] 4993->4994 5017 gini = 0.0 samples = 1 value = [1, 0] 4993->5017 4995 balance <= -0.203 gini = 0.292 samples = 45 value = [8, 37] 4994->4995 5016 gini = 0.0 samples = 23 value = [0, 23] 4994->5016 4996 job_housemaid <= 0.5 gini = 0.245 samples = 42 value = [6, 36] 4995->4996 5013 education_primary <= 0.5 gini = 0.444 samples = 3 value = [2, 1] 4995->5013 4997 contact_telephone <= 0.5 gini = 0.214 samples = 41 value = [5, 36] 4996->4997 5012 gini = 0.0 samples = 1 value = [1, 0] 4996->5012 4998 balance <= -0.463 gini = 0.18 samples = 40 value = [4, 36] 4997->4998 5011 gini = 0.0 samples = 1 value = [1, 0] 4997->5011 4999 job_services <= 0.5 gini = 0.48 samples = 5 value = [2, 3] 4998->4999 5004 poutcome_unknown <= 0.5 gini = 0.108 samples = 35 value = [2, 33] 4998->5004 5000 poutcome_unknown <= 0.5 gini = 0.444 samples = 3 value = [2, 1] 4999->5000 5003 gini = 0.0 samples = 2 value = [0, 2] 4999->5003 5001 gini = 0.0 samples = 1 value = [0, 1] 5000->5001 5002 gini = 0.0 samples = 2 value = [2, 0] 5000->5002 5005 education_secondary <= 0.5 gini = 0.346 samples = 9 value = [2, 7] 5004->5005 5010 gini = 0.0 samples = 26 value = [0, 26] 5004->5010 5006 gini = 0.0 samples = 6 value = [0, 6] 5005->5006 5007 duration <= 2.477 gini = 0.444 samples = 3 value = [2, 1] 5005->5007 5008 gini = 0.0 samples = 1 value = [0, 1] 5007->5008 5009 gini = 0.0 samples = 2 value = [2, 0] 5007->5009 5014 gini = 0.0 samples = 2 value = [2, 0] 5013->5014 5015 gini = 0.0 samples = 1 value = [0, 1] 5013->5015 5020 gini = 0.0 samples = 3 value = [3, 0] 5019->5020 5021 duration <= 2.222 gini = 0.408 samples = 14 value = [4, 10] 5019->5021 5022 gini = 0.0 samples = 2 value = [2, 0] 5021->5022 5023 marital_divorced <= 0.5 gini = 0.278 samples = 12 value = [2, 10] 5021->5023 5024 duration <= 2.603 gini = 0.165 samples = 11 value = [1, 10] 5023->5024 5029 gini = 0.0 samples = 1 value = [1, 0] 5023->5029 5025 duration <= 2.545 gini = 0.375 samples = 4 value = [1, 3] 5024->5025 5028 gini = 0.0 samples = 7 value = [0, 7] 5024->5028 5026 gini = 0.0 samples = 3 value = [0, 3] 5025->5026 5027 gini = 0.0 samples = 1 value = [1, 0] 5025->5027 5031 contact_cellular <= 0.5 gini = 0.38 samples = 47 value = [12, 35] 5030->5031 5054 age <= -0.041 gini = 0.49 samples = 70 value = [30, 40] 5030->5054 5032 gini = 0.0 samples = 3 value = [3, 0] 5031->5032 5033 month_oct <= 0.5 gini = 0.325 samples = 44 value = [9, 35] 5031->5033 5034 campaign <= -0.408 gini = 0.303 samples = 43 value = [8, 35] 5033->5034 5053 gini = 0.0 samples = 1 value = [1, 0] 5033->5053 5035 gini = 0.0 samples = 12 value = [0, 12] 5034->5035 5036 campaign <= -0.085 gini = 0.383 samples = 31 value = [8, 23] 5034->5036 5037 month_jul <= 0.5 gini = 0.497 samples = 13 value = [6, 7] 5036->5037 5046 age <= -0.7 gini = 0.198 samples = 18 value = [2, 16] 5036->5046 5038 age <= -0.889 gini = 0.375 samples = 8 value = [2, 6] 5037->5038 5043 age <= -1.124 gini = 0.32 samples = 5 value = [4, 1] 5037->5043 5039 balance <= 0.002 gini = 0.444 samples = 3 value = [2, 1] 5038->5039 5042 gini = 0.0 samples = 5 value = [0, 5] 5038->5042 5040 gini = 0.0 samples = 2 value = [2, 0] 5039->5040 5041 gini = 0.0 samples = 1 value = [0, 1] 5039->5041 5044 gini = 0.0 samples = 1 value = [0, 1] 5043->5044 5045 gini = 0.0 samples = 4 value = [4, 0] 5043->5045 5047 age <= -0.889 gini = 0.408 samples = 7 value = [2, 5] 5046->5047 5052 gini = 0.0 samples = 11 value = [0, 11] 5046->5052 5048 gini = 0.0 samples = 4 value = [0, 4] 5047->5048 5049 education_primary <= 0.5 gini = 0.444 samples = 3 value = [2, 1] 5047->5049 5050 gini = 0.0 samples = 2 value = [2, 0] 5049->5050 5051 gini = 0.0 samples = 1 value = [0, 1] 5049->5051 5055 job_blue-collar <= 0.5 gini = 0.42 samples = 10 value = [7, 3] 5054->5055 5060 poutcome_unknown <= 0.5 gini = 0.473 samples = 60 value = [23, 37] 5054->5060 5056 duration <= 5.913 gini = 0.219 samples = 8 value = [7, 1] 5055->5056 5059 gini = 0.0 samples = 2 value = [0, 2] 5055->5059 5057 gini = 0.0 samples = 7 value = [7, 0] 5056->5057 5058 gini = 0.0 samples = 1 value = [0, 1] 5056->5058 5061 month_sep <= 0.5 gini = 0.42 samples = 10 value = [7, 3] 5060->5061 5066 balance <= -0.115 gini = 0.435 samples = 50 value = [16, 34] 5060->5066 5062 age <= 0.1 gini = 0.219 samples = 8 value = [7, 1] 5061->5062 5065 gini = 0.0 samples = 2 value = [0, 2] 5061->5065 5063 gini = 0.0 samples = 1 value = [0, 1] 5062->5063 5064 gini = 0.0 samples = 7 value = [7, 0] 5062->5064 5067 age <= 1.56 gini = 0.484 samples = 34 value = [14, 20] 5066->5067 5088 education_tertiary <= 0.5 gini = 0.219 samples = 16 value = [2, 14] 5066->5088 5068 balance <= -0.257 gini = 0.498 samples = 30 value = [14, 16] 5067->5068 5087 gini = 0.0 samples = 4 value = [0, 4] 5067->5087 5069 age <= 0.995 gini = 0.473 samples = 26 value = [10, 16] 5068->5069 5086 gini = 0.0 samples = 4 value = [4, 0] 5068->5086 5070 job_admin. <= 0.5 gini = 0.408 samples = 21 value = [6, 15] 5069->5070 5083 balance <= -0.518 gini = 0.32 samples = 5 value = [4, 1] 5069->5083 5071 job_self-employed <= 0.5 gini = 0.332 samples = 19 value = [4, 15] 5070->5071 5082 gini = 0.0 samples = 2 value = [2, 0] 5070->5082 5072 job_housemaid <= 0.5 gini = 0.278 samples = 18 value = [3, 15] 5071->5072 5081 gini = 0.0 samples = 1 value = [1, 0] 5071->5081 5073 duration <= 2.463 gini = 0.208 samples = 17 value = [2, 15] 5072->5073 5080 gini = 0.0 samples = 1 value = [1, 0] 5072->5080 5074 loan_no <= 0.5 gini = 0.444 samples = 6 value = [2, 4] 5073->5074 5079 gini = 0.0 samples = 11 value = [0, 11] 5073->5079 5075 duration <= 2.226 gini = 0.444 samples = 3 value = [2, 1] 5074->5075 5078 gini = 0.0 samples = 3 value = [0, 3] 5074->5078 5076 gini = 0.0 samples = 1 value = [0, 1] 5075->5076 5077 gini = 0.0 samples = 2 value = [2, 0] 5075->5077 5084 gini = 0.0 samples = 1 value = [0, 1] 5083->5084 5085 gini = 0.0 samples = 4 value = [4, 0] 5083->5085 5089 gini = 0.0 samples = 10 value = [0, 10] 5088->5089 5090 balance <= 1.141 gini = 0.444 samples = 6 value = [2, 4] 5088->5090 5091 job_management <= 0.5 gini = 0.32 samples = 5 value = [1, 4] 5090->5091 5094 gini = 0.0 samples = 1 value = [1, 0] 5090->5094 5092 gini = 0.0 samples = 1 value = [1, 0] 5091->5092 5093 gini = 0.0 samples = 4 value = [0, 4] 5091->5093 5096 gini = 0.0 samples = 1 value = [0, 1] 5095->5096 5097 gini = 0.0 samples = 4 value = [4, 0] 5095->5097 5099 job_admin. <= 0.5 gini = 0.176 samples = 41 value = [4, 37] 5098->5099 5114 age <= 0.759 gini = 0.48 samples = 5 value = [3, 2] 5098->5114 5100 job_entrepreneur <= 0.5 gini = 0.105 samples = 36 value = [2, 34] 5099->5100 5109 campaign <= -0.408 gini = 0.48 samples = 5 value = [2, 3] 5099->5109 5101 month_aug <= 0.5 gini = 0.057 samples = 34 value = [1, 33] 5100->5101 5106 week of the month_secondweek <= 0.5 gini = 0.5 samples = 2 value = [1, 1] 5100->5106 5102 gini = 0.0 samples = 32 value = [0, 32] 5101->5102 5103 marital_divorced <= 0.5 gini = 0.5 samples = 2 value = [1, 1] 5101->5103 5104 gini = 0.0 samples = 1 value = [1, 0] 5103->5104 5105 gini = 0.0 samples = 1 value = [0, 1] 5103->5105 5107 gini = 0.0 samples = 1 value = [1, 0] 5106->5107 5108 gini = 0.0 samples = 1 value = [0, 1] 5106->5108 5110 gini = 0.0 samples = 2 value = [0, 2] 5109->5110 5111 contact_cellular <= 0.5 gini = 0.444 samples = 3 value = [2, 1] 5109->5111 5112 gini = 0.0 samples = 1 value = [0, 1] 5111->5112 5113 gini = 0.0 samples = 2 value = [2, 0] 5111->5113 5115 duration <= 2.894 gini = 0.444 samples = 3 value = [1, 2] 5114->5115 5118 gini = 0.0 samples = 2 value = [2, 0] 5114->5118 5116 gini = 0.0 samples = 1 value = [1, 0] 5115->5116 5117 gini = 0.0 samples = 2 value = [0, 2] 5115->5117 5120 duration <= 3.521 gini = 0.472 samples = 102 value = [63, 39] 5119->5120 5167 duration <= 6.078 gini = 0.278 samples = 18 value = [3, 15] 5119->5167 5121 balance <= 0.51 gini = 0.497 samples = 78 value = [42, 36] 5120->5121 5160 loan_no <= 0.5 gini = 0.219 samples = 24 value = [21, 3] 5120->5160 5122 education_tertiary <= 0.5 gini = 0.463 samples = 55 value = [35, 20] 5121->5122 5149 education_tertiary <= 0.5 gini = 0.423 samples = 23 value = [7, 16] 5121->5149 5123 balance <= -0.183 gini = 0.361 samples = 38 value = [29, 9] 5122->5123 5138 poutcome_unknown <= 0.5 gini = 0.457 samples = 17 value = [6, 11] 5122->5138 5124 job_admin. <= 0.5 gini = 0.444 samples = 27 value = [18, 9] 5123->5124 5137 gini = 0.0 samples = 11 value = [11, 0] 5123->5137 5125 age <= -0.983 gini = 0.403 samples = 25 value = [18, 7] 5124->5125 5136 gini = 0.0 samples = 2 value = [0, 2] 5124->5136 5126 gini = 0.0 samples = 2 value = [0, 2] 5125->5126 5127 housing_yes <= 0.5 gini = 0.34 samples = 23 value = [18, 5] 5125->5127 5128 balance <= -0.447 gini = 0.486 samples = 12 value = [7, 5] 5127->5128 5135 gini = 0.0 samples = 11 value = [11, 0] 5127->5135 5129 gini = 0.0 samples = 4 value = [4, 0] 5128->5129 5130 age <= -0.135 gini = 0.469 samples = 8 value = [3, 5] 5128->5130 5131 age <= -0.653 gini = 0.375 samples = 4 value = [3, 1] 5130->5131 5134 gini = 0.0 samples = 4 value = [0, 4] 5130->5134 5132 gini = 0.0 samples = 1 value = [0, 1] 5131->5132 5133 gini = 0.0 samples = 3 value = [3, 0] 5131->5133 5139 gini = 0.0 samples = 3 value = [3, 0] 5138->5139 5140 balance <= 0.464 gini = 0.337 samples = 14 value = [3, 11] 5138->5140 5141 job_self-employed <= 0.5 gini = 0.26 samples = 13 value = [2, 11] 5140->5141 5148 gini = 0.0 samples = 1 value = [1, 0] 5140->5148 5142 duration <= 3.077 gini = 0.153 samples = 12 value = [1, 11] 5141->5142 5147 gini = 0.0 samples = 1 value = [1, 0] 5141->5147 5143 gini = 0.0 samples = 10 value = [0, 10] 5142->5143 5144 job_entrepreneur <= 0.5 gini = 0.5 samples = 2 value = [1, 1] 5142->5144 5145 gini = 0.0 samples = 1 value = [1, 0] 5144->5145 5146 gini = 0.0 samples = 1 value = [0, 1] 5144->5146 5150 age <= -0.983 gini = 0.219 samples = 16 value = [2, 14] 5149->5150 5155 contact_cellular <= 0.5 gini = 0.408 samples = 7 value = [5, 2] 5149->5155 5151 gini = 0.0 samples = 1 value = [1, 0] 5150->5151 5152 education_unknown <= 0.5 gini = 0.124 samples = 15 value = [1, 14] 5150->5152 5153 gini = 0.0 samples = 14 value = [0, 14] 5152->5153 5154 gini = 0.0 samples = 1 value = [1, 0] 5152->5154 5156 gini = 0.0 samples = 1 value = [0, 1] 5155->5156 5157 job_technician <= 0.5 gini = 0.278 samples = 6 value = [5, 1] 5155->5157 5158 gini = 0.0 samples = 5 value = [5, 0] 5157->5158 5159 gini = 0.0 samples = 1 value = [0, 1] 5157->5159 5161 education_secondary <= 0.5 gini = 0.444 samples = 3 value = [1, 2] 5160->5161 5164 job_retired <= 0.5 gini = 0.091 samples = 21 value = [20, 1] 5160->5164 5162 gini = 0.0 samples = 1 value = [1, 0] 5161->5162 5163 gini = 0.0 samples = 2 value = [0, 2] 5161->5163 5165 gini = 0.0 samples = 20 value = [20, 0] 5164->5165 5166 gini = 0.0 samples = 1 value = [0, 1] 5164->5166 5168 age <= 1.042 gini = 0.133 samples = 14 value = [1, 13] 5167->5168 5173 balance <= -0.132 gini = 0.5 samples = 4 value = [2, 2] 5167->5173 5169 gini = 0.0 samples = 12 value = [0, 12] 5168->5169 5170 poutcome_success <= 0.5 gini = 0.5 samples = 2 value = [1, 1] 5168->5170 5171 gini = 0.0 samples = 1 value = [1, 0] 5170->5171 5172 gini = 0.0 samples = 1 value = [0, 1] 5170->5172 5174 gini = 0.0 samples = 2 value = [0, 2] 5173->5174 5175 gini = 0.0 samples = 2 value = [2, 0] 5173->5175 5177 campaign <= -0.408 gini = 0.45 samples = 82 value = [54, 28] 5176->5177 5212 month_jun <= 0.5 gini = 0.499 samples = 280 value = [134, 146] 5176->5212 5178 balance <= 0.614 gini = 0.497 samples = 24 value = [11, 13] 5177->5178 5189 balance <= 0.545 gini = 0.383 samples = 58 value = [43, 15] 5177->5189 5179 duration <= 2.234 gini = 0.455 samples = 20 value = [7, 13] 5178->5179 5188 gini = 0.0 samples = 4 value = [4, 0] 5178->5188 5180 education_secondary <= 0.5 gini = 0.444 samples = 9 value = [6, 3] 5179->5180 5185 balance <= -0.491 gini = 0.165 samples = 11 value = [1, 10] 5179->5185 5181 job_housemaid <= 0.5 gini = 0.375 samples = 4 value = [1, 3] 5180->5181 5184 gini = 0.0 samples = 5 value = [5, 0] 5180->5184 5182 gini = 0.0 samples = 3 value = [0, 3] 5181->5182 5183 gini = 0.0 samples = 1 value = [1, 0] 5181->5183 5186 gini = 0.0 samples = 1 value = [1, 0] 5185->5186 5187 gini = 0.0 samples = 10 value = [0, 10] 5185->5187 5190 marital_divorced <= 0.5 gini = 0.311 samples = 52 value = [42, 10] 5189->5190 5209 age <= 0.336 gini = 0.278 samples = 6 value = [1, 5] 5189->5209 5191 age <= -0.135 gini = 0.206 samples = 43 value = [38, 5] 5190->5191 5204 balance <= -0.3 gini = 0.494 samples = 9 value = [4, 5] 5190->5204 5192 duration <= 2.162 gini = 0.077 samples = 25 value = [24, 1] 5191->5192 5197 education_secondary <= 0.5 gini = 0.346 samples = 18 value = [14, 4] 5191->5197 5193 marital_single <= 0.5 gini = 0.444 samples = 3 value = [2, 1] 5192->5193 5196 gini = 0.0 samples = 22 value = [22, 0] 5192->5196 5194 gini = 0.0 samples = 2 value = [2, 0] 5193->5194 5195 gini = 0.0 samples = 1 value = [0, 1] 5193->5195 5198 job_management <= 0.5 gini = 0.48 samples = 10 value = [6, 4] 5197->5198 5203 gini = 0.0 samples = 8 value = [8, 0] 5197->5203 5199 campaign <= 0.238 gini = 0.444 samples = 6 value = [2, 4] 5198->5199 5202 gini = 0.0 samples = 4 value = [4, 0] 5198->5202 5200 gini = 0.0 samples = 4 value = [0, 4] 5199->5200 5201 gini = 0.0 samples = 2 value = [2, 0] 5199->5201 5205 campaign <= -0.085 gini = 0.32 samples = 5 value = [4, 1] 5204->5205 5208 gini = 0.0 samples = 4 value = [0, 4] 5204->5208 5206 gini = 0.0 samples = 1 value = [0, 1] 5205->5206 5207 gini = 0.0 samples = 4 value = [4, 0] 5205->5207 5210 gini = 0.0 samples = 5 value = [0, 5] 5209->5210 5211 gini = 0.0 samples = 1 value = [1, 0] 5209->5211 5213 education_unknown <= 0.5 gini = 0.498 samples = 182 value = [96, 86] 5212->5213 5316 balance <= 3.064 gini = 0.475 samples = 98 value = [38, 60] 5212->5316 5214 week of the month_forthweek <= 0.5 gini = 0.5 samples = 175 value = [89, 86] 5213->5214 5315 gini = 0.0 samples = 7 value = [7, 0] 5213->5315 5215 age <= 1.654 gini = 0.492 samples = 130 value = [73, 57] 5214->5215 5286 balance <= -0.2 gini = 0.458 samples = 45 value = [16, 29] 5214->5286 5216 age <= 0.901 gini = 0.487 samples = 126 value = [73, 53] 5215->5216 5285 gini = 0.0 samples = 4 value = [0, 4] 5215->5285 5217 balance <= -0.369 gini = 0.495 samples = 115 value = [63, 52] 5216->5217 5282 week of the month_firstweek <= 0.5 gini = 0.165 samples = 11 value = [10, 1] 5216->5282 5218 duration <= 3.317 gini = 0.426 samples = 39 value = [27, 12] 5217->5218 5241 age <= -0.983 gini = 0.499 samples = 76 value = [36, 40] 5217->5241 5219 default_yes <= 0.5 gini = 0.219 samples = 16 value = [14, 2] 5218->5219 5226 duration <= 5.735 gini = 0.491 samples = 23 value = [13, 10] 5218->5226 5220 duration <= 2.576 gini = 0.124 samples = 15 value = [14, 1] 5219->5220 5225 gini = 0.0 samples = 1 value = [0, 1] 5219->5225 5221 age <= -0.653 gini = 0.5 samples = 2 value = [1, 1] 5220->5221 5224 gini = 0.0 samples = 13 value = [13, 0] 5220->5224 5222 gini = 0.0 samples = 1 value = [1, 0] 5221->5222 5223 gini = 0.0 samples = 1 value = [0, 1] 5221->5223 5227 balance <= -0.379 gini = 0.484 samples = 17 value = [7, 10] 5226->5227 5240 gini = 0.0 samples = 6 value = [6, 0] 5226->5240 5228 marital_single <= 0.5 gini = 0.444 samples = 15 value = [5, 10] 5227->5228 5239 gini = 0.0 samples = 2 value = [2, 0] 5227->5239 5229 balance <= -0.413 gini = 0.32 samples = 10 value = [2, 8] 5228->5229 5236 balance <= -0.453 gini = 0.48 samples = 5 value = [3, 2] 5228->5236 5230 gini = 0.0 samples = 5 value = [0, 5] 5229->5230 5231 balance <= -0.397 gini = 0.48 samples = 5 value = [2, 3] 5229->5231 5232 week of the month_thirdweek <= 0.5 gini = 0.444 samples = 3 value = [2, 1] 5231->5232 5235 gini = 0.0 samples = 2 value = [0, 2] 5231->5235 5233 gini = 0.0 samples = 2 value = [2, 0] 5232->5233 5234 gini = 0.0 samples = 1 value = [0, 1] 5232->5234 5237 gini = 0.0 samples = 3 value = [3, 0] 5236->5237 5238 gini = 0.0 samples = 2 value = [0, 2] 5236->5238 5242 job_admin. <= 0.5 gini = 0.32 samples = 15 value = [3, 12] 5241->5242 5247 marital_divorced <= 0.5 gini = 0.497 samples = 61 value = [33, 28] 5241->5247 5243 week of the month_secondweek <= 0.5 gini = 0.142 samples = 13 value = [1, 12] 5242->5243 5246 gini = 0.0 samples = 2 value = [2, 0] 5242->5246 5244 gini = 0.0 samples = 12 value = [0, 12] 5243->5244 5245 gini = 0.0 samples = 1 value = [1, 0] 5243->5245 5248 duration <= 5.692 gini = 0.478 samples = 53 value = [32, 21] 5247->5248 5277 duration <= 3.145 gini = 0.219 samples = 8 value = [1, 7] 5247->5277 5249 age <= -0.512 gini = 0.494 samples = 47 value = [26, 21] 5248->5249 5276 gini = 0.0 samples = 6 value = [6, 0] 5248->5276 5250 campaign <= 0.238 gini = 0.32 samples = 15 value = [12, 3] 5249->5250 5259 job_services <= 0.5 gini = 0.492 samples = 32 value = [14, 18] 5249->5259 5251 job_technician <= 0.5 gini = 0.153 samples = 12 value = [11, 1] 5250->5251 5256 marital_single <= 0.5 gini = 0.444 samples = 3 value = [1, 2] 5250->5256 5252 gini = 0.0 samples = 10 value = [10, 0] 5251->5252 5253 campaign <= -0.085 gini = 0.5 samples = 2 value = [1, 1] 5251->5253 5254 gini = 0.0 samples = 1 value = [0, 1] 5253->5254 5255 gini = 0.0 samples = 1 value = [1, 0] 5253->5255 5257 gini = 0.0 samples = 2 value = [0, 2] 5256->5257 5258 gini = 0.0 samples = 1 value = [1, 0] 5256->5258 5260 balance <= -0.22 gini = 0.453 samples = 26 value = [9, 17] 5259->5260 5273 balance <= -0.279 gini = 0.278 samples = 6 value = [5, 1] 5259->5273 5261 balance <= -0.286 gini = 0.486 samples = 12 value = [7, 5] 5260->5261 5268 balance <= 0.693 gini = 0.245 samples = 14 value = [2, 12] 5260->5268 5262 duration <= 3.364 gini = 0.469 samples = 8 value = [3, 5] 5261->5262 5267 gini = 0.0 samples = 4 value = [4, 0] 5261->5267 5263 gini = 0.0 samples = 4 value = [0, 4] 5262->5263 5264 loan_yes <= 0.5 gini = 0.375 samples = 4 value = [3, 1] 5262->5264 5265 gini = 0.0 samples = 3 value = [3, 0] 5264->5265 5266 gini = 0.0 samples = 1 value = [0, 1] 5264->5266 5269 gini = 0.0 samples = 11 value = [0, 11] 5268->5269 5270 education_tertiary <= 0.5 gini = 0.444 samples = 3 value = [2, 1] 5268->5270 5271 gini = 0.0 samples = 2 value = [2, 0] 5270->5271 5272 gini = 0.0 samples = 1 value = [0, 1] 5270->5272 5274 gini = 0.0 samples = 1 value = [0, 1] 5273->5274 5275 gini = 0.0 samples = 5 value = [5, 0] 5273->5275 5278 duration <= 2.875 gini = 0.5 samples = 2 value = [1, 1] 5277->5278 5281 gini = 0.0 samples = 6 value = [0, 6] 5277->5281 5279 gini = 0.0 samples = 1 value = [0, 1] 5278->5279 5280 gini = 0.0 samples = 1 value = [1, 0] 5278->5280 5283 gini = 0.0 samples = 10 value = [10, 0] 5282->5283 5284 gini = 0.0 samples = 1 value = [0, 1] 5282->5284 5287 education_tertiary <= 0.5 gini = 0.33 samples = 24 value = [5, 19] 5286->5287 5298 marital_divorced <= 0.5 gini = 0.499 samples = 21 value = [11, 10] 5286->5298 5288 balance <= -0.438 gini = 0.188 samples = 19 value = [2, 17] 5287->5288 5295 age <= -0.936 gini = 0.48 samples = 5 value = [3, 2] 5287->5295 5289 age <= -1.124 gini = 0.408 samples = 7 value = [2, 5] 5288->5289 5294 gini = 0.0 samples = 12 value = [0, 12] 5288->5294 5290 gini = 0.0 samples = 1 value = [1, 0] 5289->5290 5291 duration <= 2.776 gini = 0.278 samples = 6 value = [1, 5] 5289->5291 5292 gini = 0.0 samples = 1 value = [1, 0] 5291->5292 5293 gini = 0.0 samples = 5 value = [0, 5] 5291->5293 5296 gini = 0.0 samples = 2 value = [0, 2] 5295->5296 5297 gini = 0.0 samples = 3 value = [3, 0] 5295->5297 5299 duration <= 2.568 gini = 0.475 samples = 18 value = [11, 7] 5298->5299 5314 gini = 0.0 samples = 3 value = [0, 3] 5298->5314 5300 gini = 0.0 samples = 2 value = [0, 2] 5299->5300 5301 job_blue-collar <= 0.5 gini = 0.43 samples = 16 value = [11, 5] 5299->5301 5302 job_student <= 0.5 gini = 0.298 samples = 11 value = [9, 2] 5301->5302 5309 duration <= 4.016 gini = 0.48 samples = 5 value = [2, 3] 5301->5309 5303 age <= -1.501 gini = 0.18 samples = 10 value = [9, 1] 5302->5303 5308 gini = 0.0 samples = 1 value = [0, 1] 5302->5308 5304 campaign <= -0.408 gini = 0.5 samples = 2 value = [1, 1] 5303->5304 5307 gini = 0.0 samples = 8 value = [8, 0] 5303->5307 5305 gini = 0.0 samples = 1 value = [0, 1] 5304->5305 5306 gini = 0.0 samples = 1 value = [1, 0] 5304->5306 5310 campaign <= -0.408 gini = 0.444 samples = 3 value = [2, 1] 5309->5310 5313 gini = 0.0 samples = 2 value = [0, 2] 5309->5313 5311 gini = 0.0 samples = 1 value = [0, 1] 5310->5311 5312 gini = 0.0 samples = 2 value = [2, 0] 5310->5312 5317 age <= -0.418 gini = 0.465 samples = 95 value = [35, 60] 5316->5317 5366 gini = 0.0 samples = 3 value = [3, 0] 5316->5366 5318 duration <= 2.721 gini = 0.346 samples = 27 value = [6, 21] 5317->5318 5331 marital_married <= 0.5 gini = 0.489 samples = 68 value = [29, 39] 5317->5331 5319 job_blue-collar <= 0.5 gini = 0.375 samples = 4 value = [3, 1] 5318->5319 5322 age <= -1.501 gini = 0.227 samples = 23 value = [3, 20] 5318->5322 5320 gini = 0.0 samples = 3 value = [3, 0] 5319->5320 5321 gini = 0.0 samples = 1 value = [0, 1] 5319->5321 5323 balance <= -0.487 gini = 0.444 samples = 3 value = [2, 1] 5322->5323 5326 job_services <= 0.5 gini = 0.095 samples = 20 value = [1, 19] 5322->5326 5324 gini = 0.0 samples = 1 value = [0, 1] 5323->5324 5325 gini = 0.0 samples = 2 value = [2, 0] 5323->5325 5327 gini = 0.0 samples = 18 value = [0, 18] 5326->5327 5328 duration <= 2.984 gini = 0.5 samples = 2 value = [1, 1] 5326->5328 5329 gini = 0.0 samples = 1 value = [1, 0] 5328->5329 5330 gini = 0.0 samples = 1 value = [0, 1] 5328->5330 5332 age <= 0.618 gini = 0.384 samples = 27 value = [7, 20] 5331->5332 5347 job_entrepreneur <= 0.5 gini = 0.497 samples = 41 value = [22, 19] 5331->5347 5333 job_housemaid <= 0.5 gini = 0.198 samples = 18 value = [2, 16] 5332->5333 5340 duration <= 3.921 gini = 0.494 samples = 9 value = [5, 4] 5332->5340 5334 education_unknown <= 0.5 gini = 0.111 samples = 17 value = [1, 16] 5333->5334 5339 gini = 0.0 samples = 1 value = [1, 0] 5333->5339 5335 gini = 0.0 samples = 15 value = [0, 15] 5334->5335 5336 duration <= 3.91 gini = 0.5 samples = 2 value = [1, 1] 5334->5336 5337 gini = 0.0 samples = 1 value = [1, 0] 5336->5337 5338 gini = 0.0 samples = 1 value = [0, 1] 5336->5338 5341 education_unknown <= 0.5 gini = 0.444 samples = 6 value = [2, 4] 5340->5341 5346 gini = 0.0 samples = 3 value = [3, 0] 5340->5346 5342 job_services <= 0.5 gini = 0.32 samples = 5 value = [1, 4] 5341->5342 5345 gini = 0.0 samples = 1 value = [1, 0] 5341->5345 5343 gini = 0.0 samples = 4 value = [0, 4] 5342->5343 5344 gini = 0.0 samples = 1 value = [1, 0] 5342->5344 5348 balance <= -0.174 gini = 0.488 samples = 38 value = [22, 16] 5347->5348 5365 gini = 0.0 samples = 3 value = [0, 3] 5347->5365 5349 week of the month_thirdweek <= 0.5 gini = 0.375 samples = 20 value = [15, 5] 5348->5349 5358 age <= 0.995 gini = 0.475 samples = 18 value = [7, 11] 5348->5358 5350 duration <= 2.487 gini = 0.153 samples = 12 value = [11, 1] 5349->5350 5353 age <= 0.006 gini = 0.5 samples = 8 value = [4, 4] 5349->5353 5351 gini = 0.0 samples = 1 value = [0, 1] 5350->5351 5352 gini = 0.0 samples = 11 value = [11, 0] 5350->5352 5354 gini = 0.0 samples = 2 value = [2, 0] 5353->5354 5355 job_retired <= 0.5 gini = 0.444 samples = 6 value = [2, 4] 5353->5355 5356 gini = 0.0 samples = 4 value = [0, 4] 5355->5356 5357 gini = 0.0 samples = 2 value = [2, 0] 5355->5357 5359 job_blue-collar <= 0.5 gini = 0.463 samples = 11 value = [7, 4] 5358->5359 5364 gini = 0.0 samples = 7 value = [0, 7] 5358->5364 5360 balance <= -0.04 gini = 0.219 samples = 8 value = [7, 1] 5359->5360 5363 gini = 0.0 samples = 3 value = [0, 3] 5359->5363 5361 gini = 0.0 samples = 1 value = [0, 1] 5360->5361 5362 gini = 0.0 samples = 7 value = [7, 0] 5360->5362
In [172]:
# The above tree is overfit with training data, so lets prune the tree to avoid overfit
dTree_pruned = DecisionTreeClassifier(criterion='gini', max_depth=4, min_samples_leaf=50, random_state=7)
dTree_pruned.fit(X_train, y_train)
Out[172]:
DecisionTreeClassifier(max_depth=4, min_samples_leaf=50, random_state=7)
In [173]:
print('Train score of pruned Decision tree: {}'. format(dTree_pruned.score(X_train, y_train)))
print('Test score of pruned Decision tree: {}'. format(dTree_pruned.score(X_test, y_test)))
Train score of pruned Decision tree: 0.9010648718677916
Test score of pruned Decision tree: 0.9027572987319374
In [174]:
#plot the pruned tree
plot_tree_graph(dTree_pruned)
Tree 0 duration <= 1.023 gini = 0.209 samples = 31647 value = [27892, 3755] 1 poutcome_success <= 0.5 gini = 0.145 samples = 28152 value = [25937, 2215] 0->1 True 16 duration <= 2.133 gini = 0.493 samples = 3495 value = [1955, 1540] 0->16 False 2 duration <= -0.201 gini = 0.113 samples = 27233 value = [25600, 1633] 1->2 9 duration <= -0.434 gini = 0.464 samples = 919 value = [337, 582] 1->9 3 month_mar <= 0.5 gini = 0.054 samples = 17441 value = [16959, 482] 2->3 6 housing_yes <= 0.5 gini = 0.207 samples = 9792 value = [8641, 1151] 2->6 4 gini = 0.048 samples = 17279 value = [16856, 423] 3->4 5 gini = 0.463 samples = 162 value = [103, 59] 3->5 7 gini = 0.32 samples = 4213 value = [3372, 841] 6->7 8 gini = 0.105 samples = 5579 value = [5269, 310] 6->8 10 duration <= -0.692 gini = 0.395 samples = 199 value = [145, 54] 9->10 13 housing_yes <= 0.5 gini = 0.391 samples = 720 value = [192, 528] 9->13 11 gini = 0.145 samples = 51 value = [47, 4] 10->11 12 gini = 0.447 samples = 148 value = [98, 50] 10->12 14 gini = 0.333 samples = 508 value = [107, 401] 13->14 15 gini = 0.48 samples = 212 value = [85, 127] 13->15 17 poutcome_success <= 0.5 gini = 0.462 samples = 2167 value = [1382, 785] 16->17 24 contact_unknown <= 0.5 gini = 0.491 samples = 1328 value = [573, 755] 16->24 18 contact_unknown <= 0.5 gini = 0.448 samples = 2065 value = [1365, 700] 17->18 21 age <= 0.053 gini = 0.278 samples = 102 value = [17, 85] 17->21 19 gini = 0.474 samples = 1486 value = [912, 574] 18->19 20 gini = 0.341 samples = 579 value = [453, 126] 18->20 22 gini = 0.311 samples = 52 value = [10, 42] 21->22 23 gini = 0.241 samples = 50 value = [7, 43] 21->23 25 month_nov <= 0.5 gini = 0.479 samples = 966 value = [385, 581] 24->25 28 duration <= 2.452 gini = 0.499 samples = 362 value = [188, 174] 24->28 26 gini = 0.47 samples = 846 value = [319, 527] 25->26 27 gini = 0.495 samples = 120 value = [66, 54] 25->27 29 gini = 0.45 samples = 82 value = [54, 28] 28->29 30 gini = 0.499 samples = 280 value = [134, 146] 28->30
In [175]:
#predict using test data
y_predict = dTree_pruned.predict(X_test)

#Function to plot confusion matrix
def plot_confusion_matrix(y_test, y_predict):
    conf_matrix = confusion_matrix(y_test, y_predict)

    df_cm = pd.DataFrame(conf_matrix, index = [i for i in ["No","Yes"]],
                      columns = [i for i in ["No","Yes"]])
    plt.figure(figsize = (10,7))
    sns.heatmap(df_cm, annot=True ,fmt='g')
    plt.show()

plot_confusion_matrix(y_test, y_predict)
In [176]:
#Create a result dataframe with model as index and performance metrics as columns
result_df = pd.DataFrame(columns=['train_score', 'test_score', 'precision', 'recall'])

#Function to update the result Dataframe
def update_result_df(train_score, y_test, y_predict, method_name):
    result_df.loc[method_name] = [train_score, accuracy_score(y_test, y_predict), precision_score(y_test, y_predict), recall_score(y_test, y_predict)]
    return result_df
result_df = update_result_df(dTree_pruned.score(X_train, y_train), y_test, y_predict, 'Decision Tree')
result_df.head()
Out[176]:
train_score test_score precision recall
Decision Tree 0.901065 0.902757 0.63288 0.333768
In [177]:
print('Decision Tree class level metrics:')
print(classification_report(y_test, y_predict))
Decision Tree class level metrics:
              precision    recall  f1-score   support

           0       0.92      0.98      0.95     12030
           1       0.63      0.33      0.44      1534

    accuracy                           0.90     13564
   macro avg       0.78      0.65      0.69     13564
weighted avg       0.89      0.90      0.89     13564

Bagging Classifier

In [178]:
bagging_classifier = BaggingClassifier(base_estimator=dTree, n_estimators=50, random_state=7)
bagging_classifier.fit(X_train, y_train)
Out[178]:
BaggingClassifier(base_estimator=DecisionTreeClassifier(random_state=7),
                  n_estimators=50, random_state=7)
In [179]:
print('Train score of Bagging Classifier: {}'. format(bagging_classifier.score(X_train, y_train)))
print('Test score of Bagging Classifier: {}'. format(bagging_classifier.score(X_test, y_test)))
Train score of Bagging Classifier: 0.9996524157108099
Test score of Bagging Classifier: 0.9034945443821881
In [180]:
#predict using test data
y_predict = bagging_classifier.predict(X_test)

#plot confusion matrix
plot_confusion_matrix(y_test, y_predict)
In [181]:
#update result dataframe
result_df = update_result_df(bagging_classifier.score(X_train, y_train), y_test, y_predict, 'Bagging Classifier')
result_df.head()
Out[181]:
train_score test_score precision recall
Decision Tree 0.901065 0.902757 0.632880 0.333768
Bagging Classifier 0.999652 0.903495 0.598598 0.445241
In [182]:
print('Bagging classifier class level metrics:')
print(classification_report(y_test, y_predict))
Bagging classifier class level metrics:
              precision    recall  f1-score   support

           0       0.93      0.96      0.95     12030
           1       0.60      0.45      0.51      1534

    accuracy                           0.90     13564
   macro avg       0.77      0.70      0.73     13564
weighted avg       0.89      0.90      0.90     13564

AdaBoost Classifier

In [183]:
adaboost_classifier = AdaBoostClassifier(n_estimators=100, random_state=7)
adaboost_classifier.fit(X_train, y_train)
Out[183]:
AdaBoostClassifier(n_estimators=100, random_state=7)
In [184]:
print('Train score of AdaBoost Classifier: {}'. format(adaboost_classifier.score(X_train, y_train)))
print('Test score of AdaBoost Classifier: {}'. format(adaboost_classifier.score(X_test, y_test)))
Train score of AdaBoost Classifier: 0.901602047587449
Test score of AdaBoost Classifier: 0.904452963727514
In [185]:
#predict using test data
y_predict = adaboost_classifier.predict(X_test)
#Plot confusion matrix
plot_confusion_matrix(y_test, y_predict)
In [186]:
#update result dataframe
result_df = update_result_df(adaboost_classifier.score(X_train, y_train), y_test, y_predict, 'AdaBoost Classifier')
result_df.head()
Out[186]:
train_score test_score precision recall
Decision Tree 0.901065 0.902757 0.632880 0.333768
Bagging Classifier 0.999652 0.903495 0.598598 0.445241
AdaBoost Classifier 0.901602 0.904453 0.623701 0.391134
In [187]:
print('AdaBoost Classifier class level metrics:')
print(classification_report(y_test, y_predict))
AdaBoost Classifier class level metrics:
              precision    recall  f1-score   support

           0       0.93      0.97      0.95     12030
           1       0.62      0.39      0.48      1534

    accuracy                           0.90     13564
   macro avg       0.77      0.68      0.71     13564
weighted avg       0.89      0.90      0.89     13564

GradientBoost Classifier

In [188]:
gradientboost_classifier = GradientBoostingClassifier(n_estimators=120, learning_rate=0.3, random_state=7)
gradientboost_classifier.fit(X_train, y_train)
Out[188]:
GradientBoostingClassifier(learning_rate=0.3, n_estimators=120, random_state=7)
In [189]:
print('Train score of Gradientboost Classifier: {}'. format(gradientboost_classifier.score(X_train, y_train)))
print('Test score of Gradientboost Classifier: {}'. format(gradientboost_classifier.score(X_test, y_test)))
Train score of Gradientboost Classifier: 0.9238474420956173
Test score of Gradientboost Classifier: 0.908950162194043
In [190]:
#predict using test data
y_predict = gradientboost_classifier.predict(X_test)

#plot confusion matrix
plot_confusion_matrix(y_test, y_predict)
In [191]:
#update result dataframe
result_df = update_result_df(gradientboost_classifier.score(X_train, y_train), y_test, y_predict, 'GradientBoost Classifier')
result_df.head()
Out[191]:
train_score test_score precision recall
Decision Tree 0.901065 0.902757 0.632880 0.333768
Bagging Classifier 0.999652 0.903495 0.598598 0.445241
AdaBoost Classifier 0.901602 0.904453 0.623701 0.391134
GradientBoost Classifier 0.923847 0.908950 0.632889 0.464146
In [192]:
print('GradientBoost Classifier class level metrics:')
print(classification_report(y_test, y_predict))
GradientBoost Classifier class level metrics:
              precision    recall  f1-score   support

           0       0.93      0.97      0.95     12030
           1       0.63      0.46      0.54      1534

    accuracy                           0.91     13564
   macro avg       0.78      0.71      0.74     13564
weighted avg       0.90      0.91      0.90     13564

RandomForest Classifier

In [193]:
randomforest_classifier = RandomForestClassifier(criterion='gini', n_estimators=100, random_state=7)
randomforest_classifier.fit(X_train, y_train)
Out[193]:
RandomForestClassifier(random_state=7)
In [194]:
print('Train score of RandomForest Classifier: {}'. format(randomforest_classifier.score(X_train, y_train)))
print('Test score of RandomForest Classifier: {}'. format(randomforest_classifier.score(X_test, y_test)))
Train score of RandomForest Classifier: 0.9999684014282555
Test score of RandomForest Classifier: 0.9075493954585668
In [195]:
#predict using test data
y_predict = randomforest_classifier.predict(X_test)

#plot confusion matrix
plot_confusion_matrix(y_test, y_predict)
In [196]:
#update result dataframe
result_df = update_result_df(randomforest_classifier.score(X_train, y_train), y_test, y_predict, 'RandomForest Classifier')
result_df.head()
Out[196]:
train_score test_score precision recall
Decision Tree 0.901065 0.902757 0.632880 0.333768
Bagging Classifier 0.999652 0.903495 0.598598 0.445241
AdaBoost Classifier 0.901602 0.904453 0.623701 0.391134
GradientBoost Classifier 0.923847 0.908950 0.632889 0.464146
RandomForest Classifier 0.999968 0.907549 0.653846 0.387875
In [197]:
print('RandomForest Classifier class level metrics:')
print(classification_report(y_test, y_predict))
RandomForest Classifier class level metrics:
              precision    recall  f1-score   support

           0       0.93      0.97      0.95     12030
           1       0.65      0.39      0.49      1534

    accuracy                           0.91     13564
   macro avg       0.79      0.68      0.72     13564
weighted avg       0.90      0.91      0.90     13564

Confusion Matrix Metrics:

  1. Precision - It tells that out of total number of True predictions by the model, what fraction of them are actually true. Precision = TP/(TP+FP)
  2. Recall - It tells that out of total number of Actual True labels, what fraction of them the model predicted true. Recall = TP/(TP+FN)

The objective of the project is to help the marketing team identify potential customers who are relatively more likely to subscribe to the term deposit and this increase the hit ratio.

For our objective, if the model predicts that a customer will subscribe for term deposit and the customer ended up not subscribing is less costly compared to the model predicted that a customer is not going to subscribe but ended up subscribing for Term Deposit.

Having more False Negatives will be constly for the bank. So we need to reduce Fallse Negatives. Since Recall deals with False Negatives, we need to look at Recall metric while evaluting the model performance.

Among all the five models above, The Gradient Boost Classifier gives the best recall with a recall score of 46.4%, also its not overfit with train data. So we will choose GradientBoost Classifier model

What do you mean by recall and what information does it provide here?

Recall gives the fraction of predictions that are correctly classified by the model.

It gives a measure of how accurately the model is able to identify the relavant class in our case, Term Deposit Subscription

In [199]:
#finding the importance of features
pd.DataFrame(gradientboost_classifier.feature_importances_, index=X_train.columns, columns=['importance']).sort_values(by='importance', ascending=False)
Out[199]:
importance
duration 0.436721
poutcome_success 0.151940
age 0.045493
month_mar 0.032881
contact_unknown 0.030998
poutcome_unknown 0.028548
month_jun 0.027576
month_apr 0.027418
balance 0.026376
housing_yes 0.023028
month_oct 0.021041
housing_no 0.018844
month_sep 0.018742
month_nov 0.013087
week of the month_forthweek 0.012300
week of the month_firstweek 0.010271
month_feb 0.010161
campaign 0.007473
contact_cellular 0.006584
month_dec 0.005562
week of the month_thirdweek 0.005033
month_aug 0.003550
week of the month_secondweek 0.003389
education_tertiary 0.003367
marital_married 0.003141
job_student 0.002693
month_may 0.002448
month_jul 0.002219
education_unknown 0.002198
job_entrepreneur 0.001977
poutcome_failure 0.001839
job_housemaid 0.001835
job_services 0.001719
education_secondary 0.001489
job_unknown 0.001201
education_primary 0.001180
loan_no 0.001152
month_jan 0.000980
poutcome_other 0.000907
job_admin. 0.000683
marital_divorced 0.000522
job_blue-collar 0.000374
loan_yes 0.000325
job_retired 0.000287
job_unemployed 0.000261
job_management 0.000129
default_no 0.000035
job_self-employed 0.000022
job_technician 0.000002
marital_single 0.000000
contact_telephone 0.000000
previous 0.000000
pdays 0.000000
default_yes 0.000000

Suggest some changes for the organization so that they can increase the number of customers who take term deposit.

To increase the number of customers who take term deposit,

  1. Bank should have longer duration calls to talk through customers
  2. Should target more on customers who subscribed for previous campagin

How much influence does the previous campaign and mode of interaction have on financial performance?

  1. It seems customers who subscribed in the previous campaign there is a chance that they might subscribe for term deposit.

  2. The contact method phone or telephone doesn't seems to have an imapact on term deposit subscription

Which features should be more/less focused by the bank to get better results and why?

duration, previous outcome other than failure, age of the customer,contacting the customers in month of march, april,jun and october, people with housing loan seems to have good impact on the target variable. Hence, bank should focus more on these features while targetting customers for term deposit subscription.

Other features like marital status, education, job, default, loan, previous, pdays doesn't seems to have much impact on the target variable, Bank should focus less on these features

What did you learn about banking industries from this data?

  1. Banks allows overdraft. I see negative values for account balance

  2. Banks have challenge of collecting proper data, i see there are lot of unknowns in the data

  3. Banks try to run different campaigns time to time and try to personalize those campaigns as per their customer needs

In [ ]: